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

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 the study o...

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Bibliographic Details

Published in:	Bioinformatics (Oxford, England) Vol. 39; no. 2
Main Authors:	Wang, Yunhe, Yu, Zhuohan, Li, Shaochuan, Bian, Chuang, Liang, Yanchun, Wong, Ka-Chun, Li, Xiangtao
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 14.02.2023
Subjects:	Algorithms Cluster Analysis Gene Expression Profiling - methods Original Paper Sequence Analysis, RNA - methods Single-Cell Analysis - methods Software
ISSN:	1367-4803, 1367-4811, 1367-4811
Online Access:	Get full text
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