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Volumn 31, Issue 20, 2015, Pages 3380-3382

Sincell: An R/Bioconductor package for statistical assessment of cell-state hierarchies from single-cell RNA-seq

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CELL DIFFERENTIATION; GENE EXPRESSION PROFILING; GENETICS; SEQUENCE ANALYSIS; SINGLE CELL ANALYSIS; SOFTWARE; STATISTICAL ANALYSIS;

EID: 84947805126     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv368     Document Type: Article
Times cited : (49)

References (8)
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    • Buettner, F. et al. (2015) Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nat. Biotechnol., 33, 155-160.
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    • Buettner, F.1
  • 4
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    • Massively parallel single-cell RNA-seq for markerfree decomposition of tissues into cell types
    • Jaitin, D.A. et al. (2014) Massively parallel single-cell RNA-seq for markerfree decomposition of tissues into cell types. Science, 343, 776-779.
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    • The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
    • Trapnell, C. et al. (2014) The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol., 32, 381-386.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.