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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2019-10-01
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Series: | F1000Research |
Online Access: | https://f1000research.com/articles/8-296/v3 |