CEDER: Accurate detection of differentially expressed genes by combining significance of exons using RNA-Seq

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 9, Issue 5, 2012, Pages 1281-1292

  Wan, Lin ^a,b   Sun, Fengzhu ^a,c  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b CHINESE ACADEMY OF SCIENCES   (China)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

combined p value statistic; differentially expressed gene; gene expression; high throughput sequencing; RNA Seq

Indexed keywords

DATA SETS; DETECTION ACCURACY; DIFFERENTIALLY EXPRESSED GENE; HIGH-THROUGHPUT; P-VALUES; RNA-SEQ; SIMULATED DATASETS; TRANSCRIPTOMES;

GENE EXPRESSION;

RNA;

RNA; TRANSCRIPTOME;

ARTICLE; CHEMISTRY; COMPUTER PROGRAM; DNA MICROARRAY; EXON; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; METHODOLOGY; SEQUENCE ANALYSIS;

EXONS; GENE EXPRESSION PROFILING; GENOMICS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RNA; SEQUENCE ANALYSIS, RNA; SOFTWARE; TRANSCRIPTOME;

EID: 84864928010     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2012.83     Document Type: Article

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