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clustifyr: an R package for automated single-cell RNA sequencing cluster classification

Assignment of cell types from single-cell RNA sequencing (scRNA-seq) data remains a time-consuming and error-prone process. Current packages for identity assignment use limited types of reference data and often have rigid data structure requirements. We developed the clustifyr R package to leverage...

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Detalles Bibliográficos
Autores principales: Fu, Rui, Gillen, Austin E., Sheridan, Ryan M., Tian, Chengzhe, Daya, Michelle, Hao, Yue, Hesselberth, Jay R., Riemondy, Kent A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383722/
https://www.ncbi.nlm.nih.gov/pubmed/32765839
http://dx.doi.org/10.12688/f1000research.22969.2
Descripción
Sumario:Assignment of cell types from single-cell RNA sequencing (scRNA-seq) data remains a time-consuming and error-prone process. Current packages for identity assignment use limited types of reference data and often have rigid data structure requirements. We developed the clustifyr R package to leverage several external data types, including gene expression profiles to assign likely cell types using data from scRNA-seq, bulk RNA-seq, microarray expression data, or signature gene lists. We benchmark various parameters of a correlation-based approach and implement gene list enrichment methods. clustifyr is a lightweight and effective cell-type assignment tool developed for compatibility with various scRNA-seq analysis workflows. clustifyr is publicly available at https://github.com/rnabioco/clustifyr