A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data
A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data
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Author / Creator
Li, Gaoyang , Fu, Shaliu , Wang, Shuguang , Zhu, Chenyu , Duan, Bin , Tang, Chen , Chen, Xiaohan , Chuai, Guohui , Wang, Ping and Liu, Qi
Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
England: BioMed Central Ltd
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Contents
Here, we present a multi-modal deep generative model, the single-cell Multi-View Profiler (scMVP), which is designed for handling sequencing data that simultaneously measure gene expression and chromatin accessibility in the same cell, including SNARE-seq, sci-CAR, Paired-seq, SHARE-seq, and Multiome from 10X Genomics. scMVP generates common latent...
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Full title
A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data
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TN_cdi_doaj_primary_oai_doaj_org_article_60469a3a54c544318cb6aba4eaea74e5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_60469a3a54c544318cb6aba4eaea74e5
Other Identifiers
ISSN
1474-760X,1474-7596
E-ISSN
1474-760X
DOI
10.1186/s13059-021-02595-6
