阅读说明：本技术 假阳性样本的排除方法、装置以及电子设备 (Method and device for eliminating false positive sample and electronic equipment ) 是由 李冬 杨智 贺贤汉 于 2020-12-30 设计创作，主要内容包括：本申请提供了一种假阳性样本的排除方法、装置以及电子设备,涉及数据检测技术领域,包括：获取未知样本的扩增数据,通过聚类方法从未知样本的扩增数据中确定明显扩增样本,计算明显扩增样本的多个循环信号的标准差、明显扩增样本的最大扩增高度以及最大扩增高度对应的Ct-max值,基于标准差、最大扩增高度以及Ct-max值,排除未知样本中的假阳性样本,缓解了目前排除假阳性样本的精确度较低的技术问题。(The application provides a method and a device for eliminating false positive samples and electronic equipment, relates to the technical field of data detection, and comprises the following steps: obtaining amplification data of an unknown sample, determining an obviously amplified sample from the amplification data of the unknown sample by a clustering method, calculating standard deviations of a plurality of cyclic signals of the obviously amplified sample, the maximum amplification height of the obviously amplified sample and a Ct-max value corresponding to the maximum amplification height, and eliminating false positive samples in the unknown sample based on the standard deviations, the maximum amplification height and the Ct-max value, so that the technical problem of low accuracy of eliminating the false positive samples at present is solved.)

1. A method for eliminating false positive samples, the method comprising:

acquiring amplification data of an unknown sample;

determining an obvious amplification sample from the amplification data of the unknown sample by a clustering method;

calculating standard deviations of a plurality of cyclic signals of the obviously amplified sample, the maximum amplification height of the obviously amplified sample and a Ct-max value corresponding to the maximum amplification height;

excluding false positive samples in the unknown sample based on the standard deviation, the maximum amplification height, and the Ct-max value.

2. The method of claim 1, wherein the step of calculating the standard deviation of the plurality of cycle signals of the significantly amplified sample, the maximum amplification height of the significantly amplified sample, and the Ct-max value corresponding to the maximum amplification height comprises:

calculating a standard deviation of a plurality of cycle signals of the significantly amplified sample;

and obtaining the Ct value of the obvious amplification sample according to the position of the multiple standard deviations, and searching the maximum amplification height of the obvious amplification sample and the Ct-max value corresponding to the maximum amplification height based on the Ct value.

3. The method of claim 1, wherein the step of excluding false positive samples from the unknown sample based on the standard deviation, the maximum amplification height, and the Ct-max value comprises:

calculating the average value of the standard deviation;

excluding false positive samples in the unknown sample according to the average value, and excluding false positive samples in the unknown sample based on the maximum amplification height and the Ct-max value.

4. The method of claim 3, wherein the multiple of the standard deviation is 10 times in position;

the step of excluding false positive samples from the unknown sample according to the average value comprises:

setting the amplification curve in the amplification data to 0 when the maximum amplification height of the samples except the obviously amplified sample is less than 10-fold average standard deviation so as to exclude the false positive sample in the unknown sample.

5. The method of claim 3, wherein the step of excluding false positives in the unknown sample based on the maximum amplification height and the Ct-max value comprises:

setting the amplification curve in the amplification data to 0 to exclude false positive samples in the unknown sample when the maximum amplification height of the samples except the obviously amplified sample is less than 1/5 and the Ct value of the samples except the obviously amplified sample is less than the Ct-max value.

6. The method of claim 1, wherein the amplification data is PCR amplification data;

the false positive sample is a PCR false positive sample.

7. The method of claim 1, wherein the clustering method is a K-means clustering method.

8. A device for eliminating a false positive sample, comprising:

the acquisition module is used for acquiring amplification data of an unknown sample;

a determining module, configured to determine an apparently amplified sample from the amplification data of the unknown sample by a clustering method;

a calculation module, configured to calculate standard deviations of a plurality of cyclic signals of the significantly amplified sample, a maximum amplification height of the significantly amplified sample, and a Ct-max value corresponding to the maximum amplification height;

an exclusion module to exclude false positive samples in the unknown sample based on the standard deviation, the maximum amplification height, and the Ct-max value.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the steps of the method of any of claims 1 to 7 when executing the computer program.

10. A computer readable storage medium having stored thereon computer executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 7.

Technical Field

The present disclosure relates to the field of data detection technologies, and in particular, to a method and an apparatus for eliminating a false positive sample, and an electronic device.

Background

At present, most of nucleic acid quantitative methods for diagnosing infectious disease standards adopt fluorescence real-time quantitative PCR, can quantify initial values of sample templates, and are often used in gene analysis expression, transgenic food detection and cancer detection.

However, the actual PCR amplification curves are various, even in the same amplification experiment, the amplification curves of the respective well sites are very different, and the existing methods cannot accurately eliminate the differences of the analysis results of the samples without obvious amplification curves, so that the accuracy of eliminating false positive samples is low, and it is difficult to examine all amplification well sites on the whole.

Disclosure of Invention

The invention aims to provide a method and a device for eliminating a false positive sample and electronic equipment, so as to solve the technical problem that the accuracy of eliminating the false positive sample is low at present.

In a first aspect, the present embodiments provide a method for eliminating a false positive sample, the method including:

acquiring amplification data of an unknown sample;

determining an obvious amplification sample from the amplification data of the unknown sample by a clustering method;

calculating standard deviations of a plurality of cyclic signals of the obviously amplified sample, the maximum amplification height of the obviously amplified sample and a Ct-max value corresponding to the maximum amplification height;

excluding false positive samples in the unknown sample based on the standard deviation, the maximum amplification height, and the Ct-max value.

With reference to the first aspect, the present invention provides a first possible implementation manner of the first aspect, wherein the step of calculating a standard deviation of a plurality of cycle signals of the significantly amplified sample, a maximum amplification height of the significantly amplified sample, and a Ct-max value corresponding to the maximum amplification height includes:

calculating a standard deviation of a plurality of cycle signals of the significantly amplified sample;

and obtaining the Ct value of the obvious amplification sample according to the position of the multiple standard deviations, and searching the maximum amplification height of the obvious amplification sample and the Ct-max value corresponding to the maximum amplification height based on the Ct value.

With reference to the first aspect, the present embodiments provide a second possible implementation manner of the first aspect, wherein the step of excluding the false positive sample from the unknown sample based on the standard deviation, the maximum amplification height, and the Ct-max value includes:

calculating the average value of the standard deviation;

excluding false positive samples in the unknown sample according to the average value, and excluding false positive samples in the unknown sample based on the maximum amplification height and the Ct-max value.

In combination with the first aspect, the present embodiments provide a third possible implementation manner of the first aspect, wherein the multiple of the standard deviation is 10 times in position;

the step of excluding false positive samples from the unknown sample according to the average value comprises:

setting the amplification curve in the amplification data to 0 when the maximum amplification height of the samples except the obviously amplified sample is less than 10-fold average standard deviation so as to exclude the false positive sample in the unknown sample.

With reference to the first aspect, the present examples provide a fourth possible implementation manner of the first aspect, wherein the step of excluding false positives in the unknown sample based on the maximum amplification height and the Ct-max value includes:

setting the amplification curve in the amplification data to 0 to exclude false positive samples in the unknown sample when the maximum amplification height of the samples except the obviously amplified sample is less than 1/5 and the Ct value of the samples except the obviously amplified sample is less than the Ct-max value.

With reference to the first aspect, the present embodiments provide a fifth possible implementation manner of the first aspect, wherein the amplification data is PCR amplification data;

the false positive sample is a PCR false positive sample.

With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the clustering method is a K-means clustering method.

In a second aspect, an embodiment of the present invention provides an apparatus for eliminating a false positive sample, including:

the acquisition module is used for acquiring amplification data of an unknown sample;

a determining module, configured to determine an apparently amplified sample from the amplification data of the unknown sample by a clustering method;

a calculation module, configured to calculate standard deviations of a plurality of cyclic signals of the significantly amplified sample, a maximum amplification height of the significantly amplified sample, and a Ct-max value corresponding to the maximum amplification height;

an exclusion module to exclude false positive samples in the unknown sample based on the standard deviation, the maximum amplification height, and the Ct-max value.

In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, where the memory stores a computer program operable on the processor, and the processor implements the steps of the method according to the first aspect when executing the computer program.

In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions, which, when invoked and executed by a processor, cause the processor to execute the method according to the first aspect.

The embodiment of the application brings the following beneficial effects:

the method, the device and the electronic equipment for eliminating the false positive sample provided by the embodiment of the application comprise the following steps: firstly, obtaining amplification data of an unknown sample, then determining an obviously amplified sample from the amplification data of the unknown sample by a clustering method, then calculating standard deviations of a plurality of cyclic signals of the obviously amplified sample, the maximum amplification height of the obviously amplified sample and a Ct-max value corresponding to the maximum amplification height, and finally eliminating false positive samples in the unknown sample based on the standard deviations, the maximum amplification height and the Ct-max value. The technical problem of low precision of eliminating false positive samples at present is solved.

Drawings

In order to more clearly illustrate the detailed description of the present application or the technical solutions in the prior art, the drawings needed to be used in the detailed description of the present application or the prior art description will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic flow chart of a method for eliminating false positive samples according to an embodiment of the present disclosure;

FIG. 2 is another schematic flow chart of a method for eliminating false positive samples according to an embodiment of the present disclosure;

FIGS. 3(a) and 3(b) are schematic diagrams of raw amplification data of 4 wells of a PCR detection system in a method for eliminating false positive samples according to an embodiment of the present application;

FIGS. 4(a) and 4(b) are schematic diagrams illustrating the analysis results of 4 wells in the PCR detection system in the method for eliminating false positive samples according to the embodiment of the present application;

FIG. 5 is a schematic structural diagram of an apparatus for eliminating false positive samples according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram illustrating an electronic device provided in an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

At present, the nucleic acid quantitative method for diagnosing infectious disease standard still mostly adopts fluorescence real-time quantitative PCR, which can quantify the initial value of a sample template and is often used in gene analysis expression, transgenic food detection and cancer detection. When the PCR amplification curve is applied to a whole plate of a plurality of well sites, one of the following conditions is found: some of the detection results without significant amplification appear on the original amplification curve, and the amplification height of the detection results is very low compared with the detection results with significant amplification; the second step is as follows: some samples with similar, less apparent raw amplification curves show differences in the final analysis, some with and some without heads-up. The amplification is low, and the head-up is also false positive, so that the differential clearance is needed. These problems occur mainly because the current analysis method generally adopts a "one-step method", i.e., one analysis method is used to analyze each well site in turn, and obviously, such an analysis method is not suitable for the habit of examining all the amplified well sites as a whole.

The actual PCR amplification curve is very strange, and even in the same amplification experiment, the amplification curves of all the pore sites are greatly different. But in general, can be divided into two categories: with and without significant amplification. The existing methods can not accurately eliminate the analysis result difference of unobvious amplification curve samples, so that the accuracy of eliminating false positive samples is low, and the overall inspection of all amplification hole sites is difficult.

Based on this, the embodiment of the application provides a method and a device for eliminating a false positive sample, and an electronic device, by which the technical problem that the accuracy of eliminating the false positive sample is low at present can be solved. Firstly, determining an obviously amplified sample from amplification data of an unknown sample by using a clustering method, secondly, calculating standard deviations of a plurality of cyclic signals of the obviously amplified sample, the maximum amplification height of the obviously amplified sample and a Ct-max value corresponding to the maximum amplification height, and finally, excluding false positive samples in the unknown sample according to the standard deviations, the maximum amplification height and the Ct-max value.

The first embodiment is as follows:

fig. 1 is a schematic flowchart of a method for eliminating a false positive sample according to an embodiment of the present disclosure. As shown in fig. 1, the method includes:

step S110, obtaining amplification data of the unknown sample.

And step S120, determining an obvious amplification sample from the amplification data of the unknown sample by a clustering method.

Step S130, calculating standard deviations of a plurality of cyclic signals of the obviously amplified sample, the maximum amplification height of the obviously amplified sample and a Ct-max value corresponding to the maximum amplification height.

And step S140, based on the standard deviation, the maximum amplification height and the Ct-max value, excluding false positive samples in the unknown samples.

The method can determine the obviously amplified sample from the amplification data of the unknown sample by a clustering method, and further, the standard deviation of a plurality of cyclic signals of the obviously amplified sample, the maximum amplification height of the obviously amplified sample and the Ct-max value corresponding to the maximum amplification height are calculated, so that the false positive sample in the unknown sample is eliminated finally according to the standard deviation, the maximum amplification height and the Ct-max value, and the technical problem of low accuracy in eliminating the false positive sample at present is solved.

In some embodiments, the amplification data is PCR amplification data and the false positive sample is a PCR false positive sample. By confirming the PCR false positive sample, the statistical result of the obviously amplified sample can be carried out, and the false positive sample can be eliminated.

Exemplarily, the step of obtaining the amplification data of the unknown sample in step S110 specifically includes: step a), collecting PCR amplification data of an unknown sample.

For example, as shown in FIG. 2, fluorescence intensity data is collected. By collecting the PCR amplification data of the unknown samples, all the amplification curves of the unknown samples can be conveniently divided into obvious amplification samples and non-obvious amplification samples in a subsequent pair.

In some embodiments, the process of calculating the standard deviation of the multiple cycle signals of the significantly amplified sample, the maximum amplification height of the significantly amplified sample, and the Ct-max value corresponding to the maximum amplification height in step S130 may include the following specific steps:

step b), calculating the standard deviation of a plurality of cyclic signals of the obviously amplified sample;

and c), obtaining the Ct value of the obviously amplified sample according to the position of the multiple standard deviation, and searching the maximum amplification height of the obviously amplified sample and the Ct-max value corresponding to the maximum amplification height based on the Ct value.

It should be noted that, as shown in fig. 2, the method for calculating the standard deviation of 3-15 cycle signals, the maximum amplification height and the corresponding Ct-max value of the obviously amplified sample includes calculating the standard deviation of 3-15 cycle signals of the obviously amplified sample, and it should be noted that, since a plurality of obviously amplified samples may be available in one experiment, in order to reduce errors, the standard deviations of all obviously amplified samples are saved and the average standard deviation is calculated.

The Ct value of the obviously amplified sample can be obtained by calculating the standard deviation of a plurality of cyclic signals of the obviously amplified sample, so that the maximum amplification height of the obviously amplified sample and the Ct-max value corresponding to the maximum amplification height are searched according to the Ct value, false positives in a difficult PCR amplification curve are eliminated, and the method is easy to understand, easy to realize and high in precision.

In some embodiments, the process of excluding false positive samples from unknown samples based on the standard deviation, the maximum amplification height and the Ct-max value in step S140 may include the following specific steps:

step d), calculating the average value of the standard deviation.

And e), eliminating false positive samples in the unknown samples according to the average value, and eliminating the false positive samples in the unknown samples based on the maximum amplification height and the Ct-max value.

For step d) above, when the maximum amplification height of other samples is less than 10 times the average standard deviation, the amplification curve of the sample is set to 0, i.e. the sample is excluded from being positive.

For step e) above, when the maximum amplification height of the other sample is less than 1/5 (note: empirical values, which can be obtained from a large number of experimental results), but setting the sample amplification curve to 0 when the Ct value is less than Ct-max, i.e. excluding the possibility of the sample being positive.

As shown in fig. 2, by calculating the average value of the standard deviation, the false positive samples in the unknown samples can be excluded according to the average value, so that the false positive samples in the unknown samples are excluded based on the maximum amplification height and the Ct-max value, and the false positive in the difficult PCR amplification curve is excluded, which is easy to understand, easy to implement and high in precision.

In some embodiments, the multiple in position of the multiple standard deviation is 10 times; the step e) may specifically include the following steps:

and f), setting the amplification curve in the amplification data as 0 when the maximum amplification height of the samples except the obviously amplified sample is less than 10-fold average standard deviation so as to exclude the false positive samples in the unknown samples.

For the step f), Ct values of all the obvious amplification samples can be obtained according to the 10-fold standard deviation position, and the maximum amplification height and the corresponding Ct-max value are found out.

It should be noted that the 10-fold standard deviation position is the threshold line position, and the corresponding abscissa is the Ct value of the significant amplified sample. By simple comparison, the amplification height of the obvious amplification sample with the maximum amplification height and the corresponding Ct-max value can be obtained.

By setting the amplification curve in the amplification data to be 0, the false positive sample in the unknown sample can be eliminated, so that the false positive in the difficult PCR amplification curve is eliminated, and the precision is higher.

In some embodiments, the step e) may further include the following steps:

and g), when the maximum amplification height of the samples except the obviously amplified sample is smaller than 1/5 of the maximum amplification height of the obviously amplified sample, and the Ct value of the samples except the obviously amplified sample is smaller than the Ct-max value, setting the amplification curve in the amplification data as 0 to exclude the false positive samples in the unknown sample.

Setting the amplification curve in the amplification data to be 0, and when the Ct value of the sample except the obviously amplified sample is smaller than the Ct-max value, excluding the false positive sample in the unknown sample.

In the embodiment of the application, a Bori fluorescence quantitative PCR detection system can be used for carrying out multiple PCR amplification experiments, and the collected original amplification data can be analyzed. Here, representative hole site data for one channel portion at a time is taken as an example. FIG. 3(a) shows the original amplification data of 4 well sites, where 4 curves from top to bottom are distinguished by wells 1-4, and FIG. 3(b) shows the enlarged view of the amplification data of the well sites 2-4 with smaller amplification height.

Wherein, data basic parameters, cycle number: 40. as can be seen from FIG. 3(a) alone, well 1 had significant amplification, well 2 had slight amplification, and well 3 and well 4 had insignificant amplification. As can be seen in FIG. 3(b), the amplification becomes evident in 2 wells, 3 wells have a tendency to ramp up, but the amplification is not evident, and 4 wells are slightly amplified.

As for the calculation results, analysis was performed according to the aforementioned steps, and the amplification curve of each well finally obtained is shown in FIG. 4, in which FIG. 4(a) is an overall amplification curve of 4 wells, and FIG. 4(b) is an enlarged view of the amplification curves of other wells after removing 1 well from which amplification was evident.

As can be seen from fig. 4(a) and 4(b), well 1 has significant amplification and is above the threshold line, i.e., Ct value, well 2 has slight amplification and has significant head-up but does not reach the threshold line standard, well 3 has no amplification, and well 4 has some amplification in the original amplification curve but its amplification height does not reach the threshold line, and this amplification is not true amplification and is excluded.

In some embodiments, the clustering method in step S120 is a K-means clustering method. Illustratively, an amplification curve derivative curve is calculated by using a direct difference method, all maximum values are found, K-means dichotomous clustering analysis is carried out by taking the maximum value of the derivative as one class and other maximum values as another class, contour coefficients are calculated, finally the contour coefficients are considered, if the overall contour coefficients of the dichotomous class reach a given threshold (note: generally set to a value close to 1, such as 0.99), the dichotomous class is established, and the sample is an obvious amplification sample.

The obvious amplification sample is found by using a K-means clustering method, and the standard deviation of 3-15 cyclic signals, the maximum amplification height and the corresponding Ct-max value of the obvious amplification sample can be calculated, so that false positives in a difficult PCR amplification curve are eliminated, and the method is easy to understand, easy to realize and high in precision.

Example two:

fig. 5 is a schematic structural diagram of an apparatus for removing a false positive sample according to an embodiment of the present application, and as shown in fig. 5, the apparatus 500 for removing a false positive sample includes:

an obtaining module 501, configured to obtain amplification data of an unknown sample;

a determining module 502, configured to determine an obvious amplification sample from amplification data of an unknown sample by a clustering method;

a calculating module 503, configured to calculate standard deviations of multiple cyclic signals of the obviously amplified sample, a maximum amplification height of the obviously amplified sample, and a Ct-max value corresponding to the maximum amplification height;

an exclusion module 504 for excluding false positive samples from the unknown sample based on the standard deviation, the maximum amplification height, and the Ct-max value.

Example three:

as shown in fig. 6, an electronic device 600 includes a memory 601 and a processor 602, where the memory stores a computer program that can run on the processor, and the processor executes the computer program to implement the steps of the method provided in the foregoing embodiment.

Referring to fig. 6, the electronic device further includes: a bus 603 and a communication interface 604, the processor 602, the communication interface 604 and the memory 601 being connected by the bus 603; the processor 602 is used to execute executable modules, such as computer programs, stored in the memory 601.

The Memory 601 may include a Random Access Memory (RAM), and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is implemented through at least one communication interface 604 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like may be used.

The bus 603 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 6, but that does not indicate only one bus or one type of bus.

The memory 601 is used for storing a program, and the processor 602 executes the program after receiving an execution instruction, and the method performed by the apparatus defined by the process disclosed in any of the foregoing embodiments of the present application may be applied to the processor 602, or implemented by the processor 602.

The processor 602 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 602. The Processor 602 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 601, and the processor 602 reads the information in the memory 601 and performs the steps of the above method in combination with the hardware thereof.

Example four:

corresponding to the above-mentioned elimination method of the false positive sample, the embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium stores machine executable instructions, and when the computer executable instructions are called and executed by the processor, the computer executable instructions cause the processor to execute the steps of the elimination method of the false positive sample.

The device for eliminating the false positive sample provided by the embodiment of the application can be specific hardware on the device or software or firmware installed on the device. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

For another example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method for eliminating the false positive sample according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the scope of the embodiments of the present application. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.