Author

Edouard Mehlman

École Normale Supérieure Paris-SaclayORCID 0000-0001-6351-2220Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Chenling A. XuiD· 2 shared Jeffrey RegieriD· 2 shared Michael I. JordaniD· 2 shared Nir YosefiD· 2 shared Romain LopeziD· 2 shared Aaron StreetsiD· 1 shared Achille NazaretiD· 1 shared Adam GayosoiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Chenling A. XuORCID

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2 papers

Recent·Most cited

BioinformaticsNature BiotechnologyPeer-reviewedFeb 1, 2022

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

Adam Gayoso, Romain Lopez, Galen K. Xing…·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.

819 citationstop 1%

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsMolecular Systems BiologyPeer-reviewedJan 1, 2021

Probabilistic Harmonization and Annotation of Single-cell Transcriptomics Data with Deep Generative Models

Chenling A. Xu, Romain Lopez, Edouard Mehlman…·Nir Yosef

This paper introduces scVI and scANVI, deep generative models for integrating single-cell RNA-seq data and annotating cell states, showing improved accuracy and scalability over existing methods.

693 citationstop 1%

scRNA-seqdeep learning

𝕏 PostBluesky