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Rapid method of pattern recognition, machine learning, and automated genotype classification through correlation analysis of dynamic signals

机译:通过动态信号的相关分析,快速进行模式识别,机器学习和自动基因型分类的方法

摘要

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. This 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. The training set generated by these methods and systems may be used to assist in identification of unknown genotypes.
机译:本发明涉及用于分析核酸的解离行为并鉴定确定生物样品中是否存在基因型的方法和系统。这包括以下方法和系统:通过生成未知基因型的动态图谱,将动态图谱与已知基因型的平均图谱相关联以生成相关值,并确定是否相关值,来确定生物样品中是否存在基因型落在可接受的阈值内以确定未知基因型是否为已知基因型。本发明还涉及用于生成训练集以允许机器从一类已知基因型中识别出已知基因型的方法和系统。通过这些方法和系统生成的训练集可用于帮助识别未知基因型。

著录项

  • 公开/公告号US8412466B2

    专利类型

  • 公开/公告日2013-04-02

    原文格式PDF

  • 申请/专利权人 SAMI KANDERIAN;

    申请/专利号US20100759415

  • 发明设计人 SAMI KANDERIAN;

    申请日2010-04-13

  • 分类号G06F19/00;G06F15/00;C12Q1/68;

  • 国家 US

  • 入库时间 2022-08-21 16:43:34

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