Evaluation of network-guided random forest for disease gene discovery

Evaluation of network-guided random forest for disease gene discovery

Abstract Background Gene network information is believed to be beneficial for disease module and pathway identification, but has not been explicitly utilized in the standard random forest (RF) algorithm for gene expression data analysis. We investigate the performance of a network-guided RF where th...

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Bibliographic Details
Main Authors: Jianchang Hu, Silke Szymczak
Format: Article
Language:English
Published: BMC 2024-04-01
Series:BioData Mining
Subjects:
Gene expression
Protein-protein interaction
RNA-Seq
Weighted random forest
Online Access:https://doi.org/10.1186/s13040-024-00361-5

Internet

https://doi.org/10.1186/s13040-024-00361-5

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