SCnorm: Robust normalization of single-cell RNA-seq data

Nature Methods

Volumn 14, Issue 6, 2017, Pages 584-586

  Bacher, Rhonda ^a   Chu, Li Fang ^b   Leng, Ning ^b   Gasch, Audrey P ^c   Thomson, James A ^b   Stewart, Ron M ^b   Newton, Michael ^a,d   Kendziorski, Christina ^d  

^a University of Wisconsin   (United States)

^b MORGRIDGE INSTITUTE FOR RESEARCH   (United States)

^c UNIVERSITY OF WISCONSIN MADISON   (United States)

^d UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RNA; TRANSCRIPTOME;

ARTICLE; DATA ANALYSIS; GENE EXPRESSION; PRIORITY JOURNAL; RNA SEQUENCE; RNA TRANSCRIPTION; SIMULATION; SINGLE CELL ANALYSIS; SINGLE CELL RNA SEQUENCE DATA NORMALIZATION; ALGORITHM; GENETICS; HIGH THROUGHPUT SEQUENCING; REFERENCE VALUE; SEQUENCE ANALYSIS; SOFTWARE; STANDARDS; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; REFERENCE VALUES; RNA; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; SOFTWARE; TRANSCRIPTOME;

EID: 85017522016     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4263     Document Type: Article

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