Article

scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks

2020-06-12

Abstract excerpt

Understanding cell-type-specific gene regulatory mechanisms from genetic variants to diseases remains challenging. To address this, we developed an open-source computational pipeline, scGRNom, to predict the cell-type disease genes and regulatory networks from multi-omics data, including cell-type chromatin interactions, epigenomics, and single-cell transcriptomics. With applications to Schizophrenia and Alzheimer...

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Literature Corpus work: b3ff1a88-2a8d-59a1-acab-e2e630faf551
DOI: 10.1101/2020.06.11.147314

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