Gene data processing method and gene data processing device

TL;DR: In this paper, a gene data processing method and a data processing device are described. And the method comprises the following steps: receiving gene data of a specified feature type of a reference population, preprocessing the gene data to obtain standardized gene data; performing feature gene selection on the standardized gene dataset by a LASSO method to obtain feature gene data, upon a cross validation method, dividing a sample set of the feature gene dataset into test samples and training samples, injecting the training samples into a classifier to obtain a trained classifier; injecting the test samples into the trained class

Abstract: The embodiment of the invention discloses a gene data processing method and a gene data processing device. The method comprises the following steps: receiving gene data of a specified feature type of a reference population; preprocessing the gene data to obtain standardized gene data; performing feature gene selection on the standardized gene data by a LASSO method to obtain feature gene data; upon a cross validation method, dividing a sample set of the feature gene data into test samples and training samples; injecting the training samples into a classifier to obtain a trained classifier; injecting the test samples into the trained classifier; performing feature classification on the test samples, and performing statistics on the classification accuracy of the classifier. According to the gene data processing method and the gene data processing device provided by the embodiment of the invention, the accuracy of the feature gene selection can be improved, and the influence of the selection of the test samples and the training samples on the classification accuracy is lowered.