A Python library for probabilistic analysis of single-cell omics data

Adam Gayoso, Romain Lopez, Galen Xing, Pierre Boyeau, Valeh Valiollah Pour Amiri, Justin Hong, Katherine Wu, Michael Jayasuriya, Edouard Mehlman, Maxime Langevin, Yining Liu, Jules Samaran, Gabriel Misrachi, Achille Nazaret, Oscar Clivio, Chenling Xu, Tal Ashuach, Mariano Gabitto, Mohammad Lotfollahi, Valentine SvenssonEduardo da Veiga Beltrame, Vitalii Kleshchevnikov, Carlos Talavera-López, Lior Pachter, Fabian J Theis, Aaron Streets, Michael I Jordan, Jeffrey Regier, Nir Yosef

Research output: Contribution to journalLetterpeer-review

Abstract

NA
Original languageEnglish
Pages (from-to)163-166
Number of pages4
JournalNature biotechnology
Volume40
Issue number2
DOIs
StatePublished - 7 Feb 2022
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Molecular Medicine
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'A Python library for probabilistic analysis of single-cell omics data'. Together they form a unique fingerprint.

Cite this