Inference of Genetic Networks From Time-Series and Static Gene Expression Data: Combining a Random-Forest-Based Inference Method With Feature Selection Methods

Inference of Genetic Networks From Time-Series and Static Gene Expression Data: Combining a Random-Forest-Based Inference Method With Feature Selection Methods

Several researchers have focused on random-forest-based inference methods because of their excellent performance. Some of these inference methods also have a useful ability to analyze both time-series and static gene expression data. However, they are only of use in ranking all of the candidate regu...

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Bibliographic Details
Main Authors: Shuhei Kimura, Ryo Fukutomi, Masato Tokuhisa, Mariko Okada
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Genetics
Subjects:
FANTOM5
gene expression
feature selection
random forest
genetic network inference
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.595912/full

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