Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood.

Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood.

Many machine learning techniques have been used to construct gene regulatory networks (GRNs) through precision matrix that considers conditional independence among genes, and finally produces sparse version of GRNs. This construction can be improved using the auxiliary information like gene expressi...

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Bibliographic Details
Main Authors: Omid Chatrabgoun, Alireza Daneshkhah, Parisa Torkaman, Mark Johnston, Nader Sohrabi Safa, Ali Kashif Bashir
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0309556
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