CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data.
Genome Biol
; 20(1): 142, 2019 07 17.
Article
em En
| MEDLINE
| ID: mdl-31315641
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 identification in synthetic and complex biological data. Characterization of a human pluripotent cell differentiation protocol recapitulating deep-layer corticogenesis using CellSIUS reveals unrecognized complexity in human stem cell-derived cellular populations. CellSIUS enables identification of novel rare cell populations and their signature genes providing the means to study those populations in vitro in light of their role in health and disease.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Análise de Célula Única
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Transcriptoma
Tipo de estudo:
Diagnostic_studies
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Evaluation_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article