A comparison framework and guideline of clustering methods for mass cytometry data
A comparison framework and guideline of clustering methods for mass cytometry data
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Publisher
England: BioMed Central
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Language
English
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England: BioMed Central
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With the expanding applications of mass cytometry in medical research, a wide variety of clustering methods, both semi-supervised and unsupervised, have been developed for data analysis. Selecting the optimal clustering method can accelerate the identification of meaningful cell populations.
To address this issue, we compared three classes of pe...
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Full title
A comparison framework and guideline of clustering methods for mass cytometry data
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TN_cdi_doaj_primary_oai_doaj_org_article_364c7cf5cc334feaace05582cec5127a
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_364c7cf5cc334feaace05582cec5127a
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ISSN
1474-760X,1474-7596
E-ISSN
1474-760X
DOI
10.1186/s13059-019-1917-7
