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Simple Bayesian Gene Network Learning in Populus Drought Transcriptome Data
2021
Bangladesh Journal of Botany
Constructing a sensibly functional gene interaction network is highly appealing for better understanding system-level biological processes governing various Populus traits. Bayesian Network (BN) learning provides an elegant and compact statistical approach for modeling causal gene-gene relationships in microarray data. Therefore, it could come with the illumination of functional molecular playing in Biology Systems. In the present study, different forms of gene Bayesian networks were detected
doi:10.3329/bjb.v50i4.57075
fatcat:isbgnb2n4rhrdipvne5ruo3meq