CoVar: A generalizable machine learning approach to identify the coordinated regulators driving variational gene expression
Satyaki Roy,
Shehzad Z. Sheikh,
Terrence S. Furey
Abstract:Network inference is used to model transcriptional, signaling, and metabolic interactions among genes, proteins, and metabolites that identify biological pathways influencing disease pathogenesis. Advances in machine learning (ML)-based inference models exhibit the predictive capabilities of capturing latent patterns in genomic data. Such models are emerging as an alternative to the statistical models identifying causative factors driving complex diseases. We present CoVar, an ML-based framework that builds up… Show more
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