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Bioinformatics (Oxford, England)|March 11, 2022
CellWalkR: an R package for integrating and visualizing single-cell and bulk data to resolve regulatory elementsPawel F Przytycki, Katherine S PollardGenome Biology|February 15, 2021
CellWalker integrates single-cell and bulk data to resolve regulatory elements across cell types in complex tissuesPawel F Przytycki, Katherine S PollardGenome Biology|November 26, 2024
Hierarchical annotation of eQTLs by H-eQTL enables identification of genes with cell type-divergent regulationPawel F Przytycki, Katherine S PollardSTAR Protocols|December 5, 2025
Protocol for inferring cell type relationships and linking genomic annotations to cell type hierarchies using CellWalker2Zhirui Hu, Pawel F Przytycki, Katherine S PollardBiorxiv : the Preprint Server for Biology|May 27, 2024
CellWalker2: multi-omic discovery of hierarchical cell type relationships and their associations with genomic annotationsZhirui Hu, Pawel F Przytycki, Katherine S PollardCell Genomics|May 23, 2025
CellWalker2: Multi-omic discovery using hierarchical cell type relationshipsZhirui Hu, Pawel F Przytycki, Katherine S PollardCell Systems|February 21, 2020
Differential Allele-Specific Expression Uncovers Breast Cancer Genes Dysregulated by Cis Noncoding MutationsPawel F Przytycki, Mona SinghGenome Medicine|August 27, 2017
Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genesPawel F Przytycki, Mona SinghGenome Medicine|May 12, 2018
Correction to: Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genesPawel F Przytycki, Mona SinghBioinformatics Advances|August 15, 2022
Cell Layers: uncovering clustering structure in unsupervised single-cell transcriptomic analysisAndrew P Blair, Robert K Hu, Elie N Farah, et al.Pageof 25