A comparison framework and guideline of clustering methods for mass cytometry data

BACKGROUND: 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 populati...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Genome Biol
Egile Nagusiak: Liu, Xiao, Song, Weichen, Wong, Brandon Y., Zhang, Ting, Yu, Shunying, Lin, Guan Ning, Ding, Xianting
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2019
Gaiak:
Research
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6929440/
https://ncbi.nlm.nih.gov/pubmed/31870419
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1917-7
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