scCompressSA: dual-channel self-attention based deep autoencoder model for single-cell clustering by compressing gene–gene interactions

Abstract Background Single-cell clustering has played an important role in exploring the molecular mechanisms about cell differentiation and human diseases. Due to highly-stochastic transcriptomics data, accurate detection of cell types is still challenged, especially for RNA-sequencing data from hu...

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Autori principali:	Wei Zhang, Ruochen Yu, Zeqi Xu, Junnan Li, Wenhao Gao, Mingfeng Jiang, Qi Dai
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2024-04-01
Serie:	BMC Genomics
Soggetti:	Single-cell RNA sequencing (scRNA-seq) Static gene–gene interactions Coefficient compression Dual-channel self-attention mechanism
Accesso online:	https://doi.org/10.1186/s12864-024-10286-2
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