APPARATUS FOR JUDGING FALSE POSITIVE OF DE NOVO MUTATION USING LOGISTIC REGRESSION AND METHOD THEREOF

摘要

The present invention relates to an apparatus and a method for false positive determination of new mutation using logistic regression analysis. According to the present invention, in the false positive determination method using the false positive determination apparatus, the false positive determination method includes: receiving new mutation sequence list data including sequence list information of a de novo mutation; The method comprising: partitioning sequence list data into a learning set and a verification set; using the sequence list of the learning set to optimize the new mutation sequence list data for use in logistic regression analysis among new mutation characteristics indicative of data reliability of a new variation Performing a logistic regression analysis on the sequence list of the learning set using the selected optimal characteristics and analyzing the result of the regression analysis to determine whether each new variation included in the sequence list of the verification set is false positive Or not. As described above, according to the present invention, it is possible to obtain a new mutation sequence list having a significantly low percentage of false positives compared to the new mutation sequence list data through the conventional detection of new mutations by greatly improving the accuracy of detection of new mutations.