Ontology highlight
ABSTRACT:
SUBMITTER: Fu R
PROVIDER: S-EPMC7383722 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Fu Rui R Gillen Austin E AE Sheridan Ryan M RM Tian Chengzhe C Daya Michelle M Hao Yue Y Hesselberth Jay R JR Riemondy Kent A KA
F1000Research 20200401
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 v ...[more]