Best practices for single-cell analysis across modalities L Heumos, AC Schaar, C Lance, A Litinetskaya, F Drost, L Zappia, ... Nature Reviews Genetics, 1-23, 2023 | 382 | 2023 |
Alevin-fry unlocks rapid, accurate and memory-frugal quantification of single-cell RNA-seq data D He, M Zakeri, H Sarkar, C Soneson, A Srivastava, R Patro Nature Methods 19 (3), 316-322, 2022 | 54 | 2022 |
Understanding and evaluating ambiguity in single-cell and single-nucleus RNA-sequencing D He, C Soneson, R Patro Biorxiv, 2023 | 8 | 2023 |
DropletUtils: utilities for handling single-cell droplet data ATL Lun, J Griffiths, D McCarthy, D He, R Patro R package version 0.99 14, 2018 | 7 | 2018 |
simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry D He, R Patro Bioinformatics 39 (10), 2023 | 6 | 2023 |
Forseti: A mechanistic and predictive model of the splicing status of scRNA-seq reads D He, Y Gao, SS Chan, N Quintana-Parrilla, R Patro bioRxiv, 2024 | 1 | 2024 |
DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes S Tiberi, J Meili, P Cai, C Soneson, D He, H Sarkar, A Avalos-Pacheco, ... Biostatistics, kxae017, 2024 | | 2024 |
scCensus: Off-target scRNA-seq reads reveal meaningful biology D He, SM Mount, R Patro bioRxiv, 2024 | | 2024 |
Methods for Efficient Processing and Comprehensive Analysis of Single Cell Sequencing Data D He University of Maryland, College Park, 2024 | | 2024 |
Discovery of Causal Regulatory Network of System Level Measurements by Integrative Network Analysis D He Case Western Reserve University, 2019 | | 2019 |