A Python library for probabilistic analysis of single-cell omics data
暂无分享,去创建一个
Michael I. Jordan | Aaron M. Streets | Fabian J Theis | L. Pachter | M. Gabitto | N. Yosef | Romain Lopez | J. Regier | Pierre Boyeau | Valentine Svensson | Chenling A. Xu | Edouard Mehlman | Adam Gayoso | Tal Ashuach | Achille Nazaret | Maxime Langevin | Jules Samaran | Vitalii Kleshchevnikov | M. Lotfollahi | C. Talavera-López | Eduardo da Veiga Beltrame | Galen Xing | Justin Hong | Oscar Clivio | Valeh Valiollah Pour Amiri | Katherine Wu | Michael Jayasuriya | Yining Liu | Gabriel Misrachi | Mariano I. Gabitto | Carlos Talavera-López
[1] Fabian J Theis,et al. Mapping single-cell data to reference atlases by transfer learning , 2021, Nature Biotechnology.
[2] Michael I. Jordan,et al. Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation , 2021, bioRxiv.
[3] Aaron M. Streets,et al. Joint probabilistic modeling of single-cell multi-omic data with totalVI , 2021, Nature Methods.
[4] Michael I. Jordan,et al. Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models , 2021, Molecular systems biology.
[5] Joseph Bergenstråhle,et al. Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography , 2020, Communications Biology.
[6] Do Young Hyeon,et al. Single-cell multiomics: technologies and data analysis methods , 2020, Experimental & Molecular Medicine.
[7] N. Yosef,et al. Enhancing scientific discoveries in molecular biology with deep generative models , 2020, Molecular systems biology.
[8] David R. Kelley,et al. Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning. , 2020, Cell systems.
[9] Kieran R. Campbell,et al. Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling , 2019, Nature Methods.
[10] Lior Pachter,et al. A curated database reveals trends in single-cell transcriptomics , 2019, bioRxiv.
[11] Michael I. Jordan,et al. Deep Generative Modeling for Single-cell Transcriptomics , 2018, Nature Methods.
[12] Fabian J Theis,et al. SCANPY: large-scale single-cell gene expression data analysis , 2018, Genome Biology.
[13] Luke Zappia,et al. Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database , 2017, bioRxiv.
[14] A. Regev,et al. Revealing the vectors of cellular identity with single-cell genomics , 2016, Nature Biotechnology.
[15] A. Regev,et al. Spatial reconstruction of single-cell gene expression , 2015, Nature Biotechnology.