Screening method and system for key molecules influencing medical outcome variables, terminal and storage medium

Abstract

The invention provides a screening method and system for key molecules influencing medical outcome variables, an intelligent terminal and a computer readable storage medium. According to the application, on the basis of a regression algorithm with repeated placement stratified random sampling, dimensionality reduction of the high-throughput sequencing data can be realized, and then key molecules which have obvious influence on specific result variables in the high-throughput sequencing data are accurately screened out. In addition, the invention further provides a method for evaluating the stability of the regression model, stability evaluation of the key molecules is achieved, namely, the stability of the influence of the independent variable on the result variable is evaluated by calculating the stability coefficient gamma of the independent variable x, quantification of the influence stability of the key molecules is achieved, and the method is simple, effective and high in practicability. According to the technical scheme, the technical problems of instability and poor repeatability of a regression model in medicine are solved, and the clinical conversion efficiency of high-throughput sequencing big data is improved.

Description

technical field [0001] The invention relates to the field of high-throughput sequencing, in particular to an algorithm for screening key molecules affecting outcome variables in medicine based on high-throughput sequencing data. Background technique [0002] With the development of high-throughput sequencing technology (High-throughput sequencing technology), it has become increasingly common to explore the developmental process and tumorigenesis with the help of high-throughput sequencing technology. High-throughput sequencing technologies mainly include genome sequencing, transcriptome sequencing, proteome sequencing, modified proteome sequencing, and metabolome sequencing. High-throughput sequencing data is a cross-sectional analysis of genetic information, reflecting the mutation, modification or expression status of all genetic material in an organism at a certain point in time. For example, human high-throughput sequencing is the analysis of all genes in the human bod...

AI Technical Summary

Problems solved by technology

At present, the method of dimensionality reduction mainly relies on annotations of public databases, but there is no significant and stable effect on a specific outcome variable in medicine (for example, whether the patient relapses, whether the patient dies, drug sensitivity, etc.) Data Dimensionality Reduction Methods

Images