scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering

MOTIVATION: Single-cell RNA sequencing (scRNA-seq) is an increasingly popular technique for transcriptomic analysis of gene expression at the single-cell level. Cell-type clustering is the first crucial task in the analysis of scRNA-seq data that facilitates accurate identification of cell types and...

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Detalles Bibliográficos
Autores principales: Wang, Yunhe, Yu, Zhuohan, Li, Shaochuan, Bian, Chuang, Liang, Yanchun, Wong, Ka-Chun, Li, Xiangtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925104/
https://www.ncbi.nlm.nih.gov/pubmed/36734596
http://dx.doi.org/10.1093/bioinformatics/btad075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925104/
https://www.ncbi.nlm.nih.gov/pubmed/36734596
http://dx.doi.org/10.1093/bioinformatics/btad075

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