Deep soft K-means clustering with self-training for single-cell RNA sequence data
Deep soft K-means clustering with self-training for single-cell RNA sequence data
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Publisher
England: Oxford University Press
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Language
English
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Publisher
England: Oxford University Press
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Scope and Contents
Contents
Single-cell RNA sequencing (scRNA-seq) allows researchers to study cell heterogeneity at the cellular level. A crucial step in analyzing scRNA-seq data is to cluster cells into subpopulations to facilitate subsequent downstream analysis. However, frequent dropout events and increasing size of scRNA-seq data make clustering such high-dimensional, sp...
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Full title
Deep soft K-means clustering with self-training for single-cell RNA sequence data
Authors, Artists and Contributors
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7671315
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7671315
Other Identifiers
ISSN
2631-9268
E-ISSN
2631-9268
DOI
10.1093/nargab/lqaa039
