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Contrastive self-supervised clustering of scRNA-seq data

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has emerged has a main strategy to study transcriptional activity at the cellular level. Clustering analysis is routinely performed on scRNA-seq data to explore, recognize or discover underlying cell identities. The high dimensionality of scRNA-seq...

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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: Ciortan, Madalina, Defrance, Matthieu
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8157426/
https://ncbi.nlm.nih.gov/pubmed/34044773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04210-8
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