A Python library for probabilistic analysis of single-cell omics data
Adam Gayoso(University of California, Berkeley), Romain Lopez(University of California, Berkeley), Galen Xing(Chan Zuckerberg Initiative (United States)), Pierre Boyeau(École Normale Supérieure Paris-Saclay), Valeh Valiollah Pour Amiri(University of California, Berkeley), Justin Hong(University of California, Berkeley), Katherine Wu(University of California, Berkeley), Michael Jayasuriya(University of California, Berkeley), Edouard Mehlman(École Normale Supérieure Paris-Saclay), Maxime Langevin(École Polytechnique), Yining Liu(Columbia University), Jules Samaran(Université Paris Sciences et Lettres), Gabriel Misrachi(École Polytechnique), Achille Nazaret(École Polytechnique), Oscar Clivio(École Normale Supérieure Paris-Saclay), Chenling Xu(University of California, Berkeley), Tal Ashuach(University of California, Berkeley), Mariano I. Gabitto(University of California, Berkeley), Mohammad Lotfollahi(Helmholtz Zentrum München), Valentine Svensson(Q Therapeutics (United States)), Eduardo da Veiga Beltrame(California Institute of Technology), Vitalii Kleshchevnikov(Wellcome Sanger Institute), Carlos Talavera‐López(European Bioinformatics Institute), Lior Pachter(California Institute of Technology), Fabian J. Theis(Helmholtz Zentrum München), Aaron Streets(Chan Zuckerberg Initiative (United States)), Michael I. Jordan(University of California, Berkeley), Jeffrey Regier(University of Michigan), Nir Yosef(Ragon Institute of MGH, MIT and Harvard)
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