| Single-cell epigenomics reveals mechanisms of human cortical development RS Ziffra, CN Kim, JM Ross, A Wilfert, TN Turner, M Haeussler, ... Nature 598 (7879), 205-213, 2021 | 197* | 2021 |
| A transcriptional switch governs fibroblast activation in heart disease M Alexanian, PF Przytycki, R Micheletti, A Padmanabhan, L Ye, ... Nature 595 (7867), 438-443, 2021 | 121 | 2021 |
| SimBoolNet—a Cytoscape plugin for dynamic simulation of signaling networks J Zheng, D Zhang, PF Przytycki, R Zielinski, J Capala, TM Przytycka Bioinformatics 26 (1), 141-142, 2010 | 79 | 2010 |
| The crosstalk between EGF, IGF, and Insulin cell signaling pathways-computational and experimental analysis R Zielinski, PF Przytycki, J Zheng, D Zhang, TM Przytycka, J Capala BMC systems biology 3, 1-10, 2009 | 77 | 2009 |
| A chromatin accessibility atlas of the developing human telencephalon E Markenscoff-Papadimitriou, S Whalen, P Przytycki, R Thomas, ... Cell 182 (3), 754-769. e18, 2020 | 72 | 2020 |
| Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes PF Przytycki, M Singh Genome medicine 9, 1-11, 2017 | 39 | 2017 |
| Three-dimensional genome rewiring in loci with human accelerated regions KC Keough, S Whalen, F Inoue, PF Przytycki, T Fair, C Deng, M Steyert, ... Science 380 (6643), eabm1696, 2023 | 28 | 2023 |
| CellWalker integrates single-cell and bulk data to resolve regulatory elements across cell types in complex tissues PF Przytycki, KS Pollard Genome biology 22 (1), 61, 2021 | 19 | 2021 |
| Differential allele-specific expression uncovers breast cancer genes dysregulated by cis noncoding mutations PF Przytycki, M Singh Cell systems 10 (2), 193-203. e4, 2020 | 19 | 2020 |
| Massively parallel characterization of psychiatric disorder-associated and cell-type-specific regulatory elements in the developing human cortex C Deng, S Whalen, M Steyert, R Ziffra, PF Przytycki, F Inoue, DA Pereira, ... bioRxiv, 2023 | 12 | 2023 |
| Chromatin remodeling drives immune-fibroblast crosstalk in heart failure pathogenesis M Alexanian, A Padmanabhan, T Nishino, JG Travers, L Ye, CY Lee, ... bioRxiv, 2023 | 6 | 2023 |
| CellWalkR: an R package for integrating and visualizing single-cell and bulk data to resolve regulatory elements PF Przytycki, KS Pollard Bioinformatics 38 (9), 2621-2623, 2022 | 6 | 2022 |
| Cross-ancestry, cell-type-informed atlas of gene, isoform, and splicing regulation in the developing human brain C Wen, M Margolis, R Dai, P Zhang, PF Przytycki, DD Vo, A Bhattacharya, ... medRxiv, 2023 | 5 | 2023 |
| Single Cell Epigenetics Reveal Cell-Cell Communication Networks in Normal and Abnormal Cardiac Morphogenesis SS Ranade, S Whalen, I Zlatanova, T Nishino, B van Soldt, L Ye, ... bioRxiv, 2022.07. 25.501458, 2022 | 2 | 2022 |
| Semi-supervised identification of cell populations in single-cell ATAC-seq PF Przytycki, KS Pollard BioRxiv, 847657, 2019 | 2 | 2019 |
| CellWalker2: multi-omic discovery of hierarchical cell type relationships and their associations with genomic annotations Z Hu, PF Przytycki, KS Pollard bioRxiv, 2024.05. 17.594770, 2024 | | 2024 |
| PhysMAP-interpretable in vivo neuronal cell type identification using multi-modal analysis of electrophysiological data EK Lee, A Gul, G Heller, A Lakunina, S Jaramillo, P Przytycki, ... bioRxiv, 2024.02. 28.582461, 2024 | | 2024 |
| Uncovering the genetic circuits that drive diseases PF Przytycki Nature Computational Science 3 (7), 584-585, 2023 | | 2023 |
| Hierarchical annotation of eQTLs enables identification of genes with cell-type divergent regulation PF Przytycki, KS Pollard bioRxiv, 2023.11. 16.567459, 2023 | | 2023 |
| Cell Layers: uncovering clustering structure in unsupervised single-cell transcriptomic analysis AP Blair, RK Hu, EN Farah, NC Chi, KS Pollard, PF Przytycki, IS Kathiriya, ... Bioinformatics Advances 2 (1), vbac051, 2022 | | 2022 |
