Graph learning and topology inference techniques aim to reconstruct network structures from observational data by treating measurements as signals defined on unknown graphs. These approaches draw on ...
Overview of the ZINB-GRAN: Starting with the count matrix from scRNA-seq data as input, ZINB-GRAN first constructs a WGCN from gene expression data. Based on this WGCN, it builds an initial regulatory ...
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