henhaobio
Sign in

BioinformaticsBioinformaticsPeer-reviewed journal article

CellWalkR: An R Package for integrating single-cell and bulk data to resolve regulatory elements

Pawel F. PrzytyckiiD, Katherine S. PollardiD

PDFDOIPreprintCode

Abstract

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 implementationCellWalkR 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.

Citations
10
FWCI
0.82
Field percentile
top 34%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPrzytycki '20Baker '18Xu '25Dong '22Fang '21Urrutia '19
76% semantic matchBioinformatics
Pawel F. Przytycki, Katherine S. Pollard·bioRxiv·Jul 13, 2020· 5 citations