MOCHA: advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human disease cohorts
- DOI
- 10.1101/2023.06.23.544827
- Published
- 2023-06-24
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- Not recorded
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- openRxiv
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1101/2023.06.23.544827,
title = {MOCHA: advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human disease cohorts},
author = {Samir Rachid Zaim and Mark-Phillip Pebworth and Imran McGrath and Lauren Okada and Morgan Weiss and Julian Reading and Julie L. Czartoski and Troy R. Torgerson and M. Juliana McElrath and Thomas F. Bumol and Peter J. Skene and Xiao-jun Li},
year = {2023},
doi = {10.1101/2023.06.23.544827},
url = {https://doi.org/10.1101/2023.06.23.544827}
}RIS
TY - JOUR TI - MOCHA: advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human disease cohorts AU - Samir Rachid Zaim AU - Mark-Phillip Pebworth AU - Imran McGrath AU - Lauren Okada AU - Morgan Weiss AU - Julian Reading AU - Julie L. Czartoski AU - Troy R. Torgerson AU - M. Juliana McElrath AU - Thomas F. Bumol AU - Peter J. Skene AU - Xiao-jun Li PY - 2023 DO - 10.1101/2023.06.23.544827 UR - https://doi.org/10.1101/2023.06.23.544827 ER -
APA
Zaim, S. R., Pebworth, M., McGrath, I., Okada, L., Weiss, M., Reading, J., Czartoski, J. L., Torgerson, T. R., McElrath, M. J., Bumol, T. F., Skene, P. J., & Li, X. (2023). MOCHA: advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human disease cohorts. https://doi.org/10.1101/2023.06.23.544827
Source records
- crossref · retrieved 2026-09-26T08:00:25.155Z