scSGL: Kernelized Signed Graph Learning for Single-Cell Gene Regulatory Network Inference.
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DOI: 10.1093/bioinformatics/btac288
Abstract: MOTIVATION Elucidating the topology of gene regulatory networks (GRNs) from large single-cell RNA sequencing (scRNAseq) datasets, while effectively capturing its inherent cell-cycle heterogeneity and dropouts, is currently one of the most pressing problems in computational… read more here.
Keywords: graph learning; scsgl; topology; gene ... See more keywords