An embedded gene selection method using knockoffs optimizing neural network

An embedded gene selection method using knockoffs optimizing neural network

Abstract Background Gene selection refers to find a small subset of discriminant genes from the gene expression profiles. How to select genes that affect specific phenotypic traits effectively is an important research work in the field of biology. The neural network has better fitting ability when d...

Full description

Bibliographic Details
Main Authors: Juncheng Guo, Min Jin, Yuanyuan Chen, Jianxiao Liu
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Bioinformatics
Subjects:
Gene mining
Neural network
Knockoffs
Nonlinear data
Maize
Online Access:http://link.springer.com/article/10.1186/s12859-020-03717-w

Internet

http://link.springer.com/article/10.1186/s12859-020-03717-w

Similar Items