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Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data [version 2; peer review: 1 approved, 2 approved with reservations]

Background: Identification of cell type subpopulations from complex cell mixtures using single-cell RNA-sequencing (scRNA-seq) data includes automated steps from normalization to cell clustering. However, assigning cell type labels to cell clusters is often conducted manually, resulting in limited d...

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Detalhes bibliográficos
Main Authors: J. Javier Diaz-Mejia, Elaine C. Meng, Alexander R. Pico, Sonya A. MacParland, Troy Ketela, Trevor J. Pugh, Gary D. Bader, John H. Morris
Formato: Artigo
Idioma:Inglês
Publicado em: F1000 Research Ltd 2019-08-01
Colecção:F1000Research
Acesso em linha:https://f1000research.com/articles/8-296/v2
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