Author

Gabriel Misrachi

École PolytechniqueORCID 0000-0002-6020-4641Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron StreetsiD· 1 shared Achille NazaretiD· 1 shared Adam GayosoiD· 1 shared Carlos N. Talavera-LópeziD· 1 shared Chenling A. XuiD· 1 shared Edouard MehlmaniD· 1 shared Eduardo da Veiga BeltrameiD· 1 shared Fabian Joachim TheisiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aaron StreetsORCID

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1 paper

Recent·Most cited

scvi-tools: a library for deep probabilistic analysis of single-cell omics data

Adam Gayoso, Romain Lopez, Galen K. 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, , Nir Yosef

scvi-tools provides a Python package for probabilistic analysis of single-cell omics data, offering standardized interfaces and extensible tools for various analysis tasks.

Nature Biotechnology · Feb 1, 2022Peer-reviewedBioinformatics