scQA: A dual-perspective cell type identification model for single cell transcriptome data

Single-cell RNA sequencing technologies have been pivotal in advancing the development of algorithms for clustering heterogeneous cell populations. Existing methods for utilizing scRNA-seq data to identify cell types tend to neglect the beneficial impact of dropout events and perform clustering focu...

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Bibliographic Details

Published in:	Computational and Structural Biotechnology Journal
Main Authors:	Di Li, Qinglin Mei, Guojun Li
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Single-cell RNA-seq Dropout Feature extraction Label propagation Bidirectional clustering
Online Access:	http://www.sciencedirect.com/science/article/pii/S2001037023004968