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SingleCellNet: a computational tool to classify single cell RNA-Seq data across platforms and across species

Single cell RNA-Seq has emerged as a powerful tool in diverse applications, from determining the cell-type composition of tissues to uncovering regulators of developmental programs. A near-universal step in the analysis of single cell RNA-Seq data is to hypothesize the identity of each cell. Often,...

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Detalhes bibliográficos
Publicado no:Cell Syst
Main Authors: Tan, Yuqi, Cahan, Patrick
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6715530/
https://ncbi.nlm.nih.gov/pubmed/31377170
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2019.06.004
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