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Negative and positive classification model establishment method and device, equipment and computer storage medium

A technology for classifying models and establishing methods, which is applied in computer parts, calculation, image analysis, etc., can solve problems such as irregular dPCR sample brushing, false negative amplification efficiency, non-specific probe hybridization, etc., to ensure dPCR quantification, The effect of saving labor costs and high classification accuracy

Pending Publication Date: 2021-06-11
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, DNA amplification efficiency and result accuracy are easily affected by slight changes in reaction conditions
In practical applications, there are two problems in the PCR reaction process: first, the false negative problem caused by the low amplification efficiency of the reaction system in different microwells; second, non-specific probe hybridization, microwell evaporation or dPCR brushing False positive problems caused by irregularities
It is difficult to distinguish false positive points and false negative points existing in the amplification process, which affects the accuracy of digital PCR quantification

Method used

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  • Negative and positive classification model establishment method and device, equipment and computer storage medium
  • Negative and positive classification model establishment method and device, equipment and computer storage medium
  • Negative and positive classification model establishment method and device, equipment and computer storage medium

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Embodiment 1

[0079] An embodiment of the present invention provides a method for establishing a negative-positive classification model based on a real-time digital PCR system, which is applied to a dPCR system whose heat dissipation efficiency is lower than a preset value, see figure 2 shown, including:

[0080] Step S12, for a single dPCR amplification reaction, respectively select the first number of negative samples and positive samples;

[0081] Step S14, respectively selecting the second number of negative samples and positive samples as training samples and inputting them into the preset SVM training model out of sequence, to obtain the first hyperplane model that meets the preset requirements;

[0082] Step S16, taking the third number of negative samples and positive samples respectively as test samples, and sequentially inputting the first hyperplane model, and determining the first hyperplane model when the correct rate of the category of the output test samples reaches a set th...

Embodiment 2

[0133] An embodiment of the present invention provides a method for establishing a negative-positive classification model. Based on a real-time digital PCR system, it is applied to a dPCR system whose heat dissipation efficiency is lower than a preset value, and can realize negative, positive, first false positive and second positive results for test samples. Four categories of false positives, see Figure 5 shown, including:

[0134] Step S22, for a single dPCR amplification reaction, respectively select the first number of negative samples and positive samples, and the fourth number of first false positive samples and second false positive samples;

[0135] Step S24, respectively select the second number of negative samples and positive samples, and the fifth number of first false positive samples and second false positive samples as training samples and input them into the preset SVM training model in random order, and obtain the number that meets the preset requirements. ...

Embodiment 3

[0152] Corresponding to the method for establishing a negative-positive classification model for binary classification, an embodiment of the present invention provides a device for establishing a negative-positive classification model based on a real-time digital PCR system, which is applied to a dPCR system whose heat dissipation efficiency is lower than a preset value, see Figure 8 Shown include:

[0153] The first sample selection module 81 is used to select a first number of negative samples and positive samples respectively for a single dPCR amplification reaction;

[0154] The first hyperplane model obtaining module 82 selects the negative samples and positive samples of the second quantity respectively as training samples and inputs the preset SVM training model out of order to obtain the first hyperplane model that meets the preset requirements;

[0155] The first verification module 83 is used to respectively use the third number of negative samples and positive samp...

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Abstract

The invention provides a negative and positive classification model establishment method and device, equipment and a storage medium, and is applied to a dPCR system of which the heat dissipation efficiency is lower than a preset value, and the method comprises: aiming at a single dPCR amplification reaction, respectively selecting a first number of negative samples and positive samples; respectively selecting a second number of negative samples and positive samples as training samples, inputting the training samples into a preset SVM training model in an out-of-order manner, and solving a first hyperplane model meeting a preset requirement; and respectively taking a third number of negative samples and positive samples as test samples, sequentially inputting the test samples into the first hyperplane model, and determining the first hyperplane model as a negative and positive classification model of the dPCR system when the accuracy of the category of the output test samples reaches a set threshold value, wherein the sum of the second number and the third number is the first number, and the second number and the third number belong to the first number. According to the scheme, the classification accuracy is high, the accuracy of dPCR quantification can be effectively guaranteed, and the dPCR amplification process can be tracked.

Description

technical field [0001] The invention relates to the technical field of establishing negative-positive classification models for test samples, and in particular to a method, device, equipment and computer storage medium for establishing negative-positive classification models. Background technique [0002] Digital PCR (Digital Polymerase Chain Reaction, dPCR) is a high-sensitivity, high-accuracy nucleic acid absolute quantification technology. It has attracted more and more attention because it can achieve absolute quantification of target nucleic acids without any correction, and has been widely used in quantitative analysis of viruses, rare gene screening, copy number variation research, pathogen detection, prenatal gene diagnosis etc. The dPCR reaction is mostly carried out in microfluidic chips or oil droplets, and the fluorescence intensity at the end of the amplification is used to distinguish negative and positive. The microfluidic chip can quickly and accurately div...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/34G06K9/62H05K7/20
CPCG06T7/0002H05K7/20509G06T2207/10064G06V10/267G06F18/2411
Inventor 姚佳罗媛媛周连群张芷齐李金泽郭振李传宇张威李超
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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