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Title:
METHOD AND SYSTEM FOR DETERMINING TYPE OF SAMPLE TO BE TESTED
Document Type and Number:
WIPO Patent Application WO/2019/237230
Kind Code:
A1
Abstract:
The present invention provides a method for a candidate classification area to determine an effective mismatch type. The candidate classification area is used for distinguishing multiple sample types. The method comprises: (1) for a plurality of samples of a known sample type, respectively constructing a plurality of respective first mismatch sets of the plurality of samples, the mismatch set separately consisting of at least one mismatch information; (2) for each of the mismatch information in all the plurality of first mismatch sets of the plurality of samples, respectively determining a distinguishing degree of each mismatch information; and (3) determining the effective mismatch type according to the distinguishing degree of each mismatch information.

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Inventors:
LIANG HAN (CN)
LI FUQIANG (CN)
WU KUI (CN)
ZHAO XIN (CN)
QIAO SITAN (CN)
ZHOU XINLAN (CN)
Application Number:
PCT/CN2018/090689
Publication Date:
December 19, 2019
Filing Date:
June 11, 2018
Export Citation:
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Assignee:
BGI SHENZHEN (CN)
International Classes:
C12Q1/68; G06N3/00
Foreign References:
CN103403182A2013-11-20
Other References:
MACLNNIS, R. J: "Use of a Novel Nonparametric Version of DEPTH to Iden- tify Genomic Regions Associated with Prostate Cancer Risk", CANCER EPIDEMIOL BIOMARKERS PREV, vol. 180, 18 August 2016 (2016-08-18), XP055672827
WEISSFELD, J. L: "Lung Cancer Risk Prediction Using Common SNPs Located in GWAS-Identified Susceptibility Regions", JOURNAL OF THORACIC ONCOLOGY, vol. 300, 30 November 2015 (2015-11-30), XP055672829
Attorney, Agent or Firm:
TSINGYIHUA INTELLECTUAL PROPERTY LLC (CN)
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