An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning
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DOI: 10.3389/fgene.2021.760299
Abstract: Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix between genes or proteins. However, conventional GGM approaches often… read more here.
Keywords: lasso; augmented high; method; network ... See more keywords