Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data [version 3; peer review: 2 approved, 1 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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Bibliographic Details
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
Format: Article
Language:English
Published: F1000 Research Ltd 2019-10-01
Series:F1000Research
Online Access:https://f1000research.com/articles/8-296/v3