A Novel Machine-Learning Approach to Predict Stress-Responsive Genes in Arabidopsis

A Novel Machine-Learning Approach to Predict Stress-Responsive Genes in Arabidopsis

This study proposes a hybrid gene selection method to identify and predict key genes in Arabidopsis associated with various stresses (including salt, heat, cold, high-light, and flagellin), aiming to enhance crop tolerance. An open-source microarray dataset (GSE41935) comprising 207 samples and 30,3...

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Bibliographic Details
Main Authors: Leyla Nazari, Vida Ghotbi, Mohammad Nadimi, Jitendra Paliwal
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Algorithms
Subjects:
LASSO
information gain
ReliefF
classifiers
random forest
Online Access:https://www.mdpi.com/1999-4893/16/9/407

Internet

https://www.mdpi.com/1999-4893/16/9/407

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