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Title:
動的シグナルの相関分析による、パターン認識、機械学習、および自動遺伝子型分類の迅速な方法
Document Type and Number:
Japanese Patent JP5709840
Kind Code:
B2
Abstract:
The present invention relates to methods and systems for the analysis of the dissociation behavior of nucleic acids and the identification of determining whether a genotype is present in a biological sample. The present invention includes methods and systems for determining whether a genotype is present in a biological sample, through generating a dynamic profile an unknown genotype, correlating the dynamic profile to an average profile for a known genotype to generate a correlation value, and determining whether the correlation value falls within an acceptable threshold to determine if the unknown genotype is the known genotype. The present invention also relates to methods and systems for generating a training set to allow a machine to recognize a known genotype from within a class of known genotypes through generating dynamic profiles of a known genotype, averaging the dynamic profiles to generate an average profile for the genotype, and correlating the dynamic profiles of the genotype with an average profile for each known genotype in a class of genotypes to generate a correlation vector. The training set generated by these methods and systems may be used to assist in identification of unknown genotypes.

Inventors:
Candelian, sami
Application Number:
JP2012506134A
Publication Date:
April 30, 2015
Filing Date:
April 13, 2010
Export Citation:
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Assignee:
CANON U.S. LIFE SCIENCES, INC.
International Classes:
G16B20/20; C12M1/34; C12Q1/68; G16B30/00; G16B40/00
Domestic Patent References:
JP2008250971A
Foreign References:
WO2002048915A1
WO2004061616A2
US20020177153
US20080163824
WO2008025093A1
WO2004097577A2
Attorney, Agent or Firm:
Okabe
Koji Yoshizawa
Katsumi Miyama
▲濱▼口 岳久
Takashi Kawasaki