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Semisoft clustering of single-cell data

Motivated by the dynamics of development, in which cells of recognizable types, or pure cell types, transition into other types over time, we propose a method of semisoft clustering that can classify both pure and intermediate cell types from data on gene expression from individual cells. Called sem...

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Foilsithe in:Proc Natl Acad Sci U S A
Main Authors: Zhu, Lingxue, Lei, Jing, Klei, Lambertus, Devlin, Bernie, Roeder, Kathryn
Formáid: Artigo
Teanga:Inglês
Foilsithe: National Academy of Sciences 2019
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6329952/
https://ncbi.nlm.nih.gov/pubmed/30587579
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1817715116
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