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