PT  - JOURNAL ARTICLE
AU  - Pawel F. Przytycki
AU  - Katherine S. Pollard
TI  - CellWalkR: An R Package for integrating single-cell and bulk data to resolve regulatory elements
AID  - 10.1101/2021.02.23.432593
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.02.23.432593
4099  - http://biorxiv.org/content/early/2021/02/24/2021.02.23.432593.short
4100  - http://biorxiv.org/content/early/2021/02/24/2021.02.23.432593.full
AB  - While single-cell open chromatin (scATAC-seq) data allows for the identification of cell type-specific regulatory regions, it is much sparser than bulk data. CellWalkR is an R package that performs an integration of external labeling and bulk epigenetic data with scATAC-seq using a network-based random walk model to help overcome this sparsity. Outputs include cell type labels for individual cells and regulatory regions.Availability and implementation CellWalkR is freely available as an R package under a GNU GPL-2.0 License, and can be accessed from https://github.com/PFPrzytycki/CellWalkR with an accompanying vignette for analyzing example data.Competing Interest StatementThe authors have declared no competing interest.