A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data

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 Multiom...

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Detalles Bibliográficos
Autores principales: Li, Gaoyang, Fu, Shaliu, Wang, Shuguang, Zhu, Chenyu, Duan, Bin, Tang, Chen, Chen, Xiaohan, Chuai, Guohui, Wang, Ping, Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756637/
https://www.ncbi.nlm.nih.gov/pubmed/35022082
http://dx.doi.org/10.1186/s13059-021-02595-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756637/
https://www.ncbi.nlm.nih.gov/pubmed/35022082
http://dx.doi.org/10.1186/s13059-021-02595-6

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