Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Autor: | Zhana Duren, Fengge Chang, Fnu Naqing, Jingxue Xin, Qiao Liu, Wing Hung Wong |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Genome Biology, Vol 23, Iss 1, Pp 1-19 (2022) |
Druh dokumentu: | article |
ISSN: | 1474-760X |
DOI: | 10.1186/s13059-022-02682-2 |
Popis: | Abstract Technological development has enabled the profiling of gene expression and chromatin accessibility from the same cell. We develop scREG, a dimension reduction methodology, based on the concept of cis-regulatory potential, for single cell multiome data. This concept is further used for the construction of subpopulation-specific cis-regulatory networks. The capability of inferring useful regulatory network is demonstrated by the two-fold increment on network inference accuracy compared to the Pearson correlation-based method and the 27-fold enrichment of GWAS variants for inflammatory bowel disease in the cis-regulatory elements. The R package scREG provides comprehensive functions for single cell multiome data analysis. |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |
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