A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data

PLoS ONE

Volumn 12, Issue 5, 2017, Pages

  Li, Xiaohong ^a,b   Brock, Guy N ^a,c   Rouchka, Eric C ^d   Cooper, Nigel G F ^b   Wu, Dongfeng ^a   OToole, Timothy E ^b   Gill, Ryan S ^a   Eteleeb, Abdallah M ^e   O'Brien, Liz ^a   Rai, Shesh N ^a  

^a UNIVERSITY OF LOUISVILLE   (United States)

^b University of Louisville School of Medicine   (United States)

^c OHIO STATE UNIVERSITY   (United States)

^d University of Louisville   (United States)

^e WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; DATA BASE; EVALUATION STUDY; GENE EXPRESSION; GENE REPLICATION; GENETIC ANALYSIS; GENETIC PARAMETERS; GENETIC VARIATION; PER GENE NORMALIZATION METHOD; PER SAMPLE GLOBAL SCALING METHOD; QUALITATIVE RESEARCH; RNA SEQUENCE; SIMULATION; AREA UNDER THE CURVE; BREAST TUMOR; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; HIGH THROUGHPUT SEQUENCING; HUMAN; INFORMATION PROCESSING; METABOLISM; MICROARRAY ANALYSIS; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SEQUENCE ANALYSIS; SOFTWARE; STATISTICAL MODEL;

AREA UNDER CURVE; BREAST NEOPLASMS; COMPUTER SIMULATION; DATASETS AS TOPIC; GENE EXPRESSION PROFILING; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MICROARRAY ANALYSIS; MODELS, STATISTICAL; ROC CURVE; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 85018984933     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0176185     Document Type: Article

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