Article

Identifying key multifunctional components shared by critical cancer and normal liver pathways via sparseGMM

2022-05-16

Abstract excerpt

<h4>ABSTRACT</h4> Despite the abundance of multi-modal data, suitable statistical models that can improve our understanding of diseases with genetic underpinnings are challenging to develop. Here we present SparseGMM, a novel statistical approach for gene regulatory network discovery. SparseGMM uniquely uses latent variable modeling with sparsity constraints regulators to learn gaussian mixtures from multi-omic da...

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Literature Corpus work: dfb1c9f8-6b47-5ea2-a498-4fe477e3f4de
DOI: 10.1101/2022.05.13.22275059

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