Using poisson mixed-effects model to quantify transcript-level gene expression in RNA-Seq

Bioinformatics

Volumn 28, Issue 1, 2012, Pages 63-68

  Hu, Ming ^a   Zhu, Yu ^b   Taylor, Jeremy M G ^c   Liu, Jun S ^a   Qin, Zhaohui S ^d,e  

^a HARVARD UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

^d Department of Biostatistics and Bioinformatics ^*  (United States)

^e EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME;

ARTICLE; GENE EXPRESSION PROFILING; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; MALE; METHODOLOGY; MICROARRAY ANALYSIS; PROSTATE TUMOR; SEQUENCE ANALYSIS; STATISTICAL MODEL; TUMOR CELL LINE;

CELL LINE, TUMOR; GENE EXPRESSION PROFILING; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MALE; MICROARRAY ANALYSIS; MODELS, STATISTICAL; PROSTATIC NEOPLASMS; SEQUENCE ANALYSIS, RNA; TRANSCRIPTOME;

EID: 84855162597     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr616     Document Type: Article

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