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Article

Deep embedded clustering with multiple objectives on scRNA-seq data.

Briefings in bioinformatics - 2 Sept 2021

Li Xiangtao, Zhang Shixiong, Wong Ka-Chun

Abstract excerpt

In recent years, single-cell RNA sequencing (scRNA-seq) technologies have been widely adopted to interrogate gene expression of individual cells; it brings opportunities to understand the underlying processes in a high-throughput manner. Deep embedded clustering (DEC) was demonstrated successful in high-dimensional sparse scRNA-seq data by joint feature learning and cluster assignment for identifying cell types...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 33822877
DOI: 10.1093/bib/bbab090

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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