ANOSVA: A statistical method for detecting splice variation from expression data

Bioinformatics

Volumn 21, Issue SUPPL. 1, 2005, Pages

  Cline, Melissa S ^a,b   Blume, John ^a   Cawley, Simon ^a   Clark, Tyson A ^a   Hu, Jing Shan ^c   Lu, Gang ^d   Salomonis, Nathan ^e   Wang, Hui ^a   Williams, Alan ^a  

^a Thermo Fisher Scientific   (United States)

^b INSTITUT PASTEUR   (France)

^c Roche Inc   (United States)

^d UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DNA; DEOXYRIBONUCLEASE I;

ANALYSIS OF VARIANCE; ARTICLE; BIOINFORMATICS; COMPUTER PROGRAM; DNA MICROARRAY; EXON; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC VARIABILITY; MOLECULAR CLONING; MOUSE; NONHUMAN; PRIORITY JOURNAL; RNA SPLICING; RNA TRANSCRIPTION; SEQUENCE ALIGNMENT; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; VALIDATION PROCESS;

MAMMALIA;

ALTERNATIVE SPLICING; EXPRESSION DATA; EXPRESSION LEVELS; FALSE NEGATIVES; FALSE POSITIVE; MAMMALIAN GENES; SPLICE JUNCTIONS;

GENES; INTELLIGENT SYSTEMS; MAMMALS; MOLECULAR BIOLOGY; MOLECULAR STRUCTURE; TISSUE;

STATISTICAL METHODS;

EID: 29144480020     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti1010     Document Type: Article

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