epiregulon
Bioc currentGene regulatory network inference from single cell epigenomic data
v2.2.0
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software
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MIT + file LICENSE
Release Lineage
Entered 3.19 · May 1, 2024
Current · Requires R 4.6
1.0
In 5 of 49 releases
3.23
Description
Gene regulatory networks model the underlying gene regulation hierarchies that drive gene expression and observed phenotypes. Epiregulon infers TF activity in single cells by constructing a gene regulatory network (regulons). This is achieved through integration of scATAC-seq and scRNA-seq data and incorporation of public bulk TF ChIP-seq data. Links between regulatory elements and their target genes are established by computing correlations between chromatin accessibility and gene expressions.
Code
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Topics
Depended on by (1)
Bioconductor (1)
People
- Xiaosai Yao author maintainer
- Shang-Yang Chen author
- Aaron Lun author
- Tomasz Włodarczyk author