A probabilistic graphical model for system-wide analysis of gene regulatory networks
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Stephen Kotiang, Ali Eslami, A probabilistic graphical model for system-wide analysis of gene regulatory networks, Bioinformatics, Volume 36, Issue 10, 15 May 2020, Pages 3192–3199
The inference of gene regulatory networks (GRNs) from DNA microarray measurements forms a core element of systems biology-based phenotyping. In the recent past, numerous computational methodologies have been formalized to enable the deduction of reliable and testable predictions in today’s biology. However, little focus has been aimed at quantifying how well existing state-of-the-art GRNs correspond to measured gene-expression profiles.
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