CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

Abstract We develop CellSIUS (Cell Subtype Identification from Upregulated gene Sets) to fill a methodology gap for rare cell population identification for scRNA-seq data. CellSIUS outperforms existing algorithms for specificity and selectivity for rare cell types and their transcriptomic signature...

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Bibliographic Details
Main Authors: Rebekka Wegmann, Marilisa Neri, Sven Schuierer, Bilada Bilican, Huyen Hartkopf, Florian Nigsch, Felipa Mapa, Annick Waldt, Rachel Cuttat, Max R. Salick, Joe Raymond, Ajamete Kaykas, Guglielmo Roma, Caroline Gubser Keller
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Genome Biology
Subjects:
Single-cell RNA sequencing
Data analysis
Rare cell types
Clustering
Software
Benchmarking
Online Access:http://link.springer.com/article/10.1186/s13059-019-1739-7

Internet

http://link.springer.com/article/10.1186/s13059-019-1739-7

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