RAPID METHOD OF PATTERN RECOGNITION, MACHINE LEARNING, AND AUTOMATED GENOTYPE CLASSIFICATION THROUGH CORRELATION ANALYSIS OF DYNAMIC SIGNALS

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. 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.