Finding genome-transcriptome-phenome association with structured association mapping and visualization in genamap

Pacific Symposium on Biocomputing

Volumn , Issue , 2012, Pages 327-338

  Curtis, Ross E ^a,b   Yin, Junming ^b   Kinnaird, Peter ^b   Xing, Eric P ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION; MAPPING;

ALGORITHMIC APPROACH; GENOME-WIDE ASSOCIATION STUDIES; REGULATORY MECHANISM; SENSITIVITY AND SPECIFICITY; STRUCTURAL INFORMATION; STRUCTURED ASSOCIATION; VISUAL ANALYTICS SYSTEMS; VISUALIZATION TECHNIQUE;

VISUALIZATION;

TRANSCRIPTOME;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGY; CHROMOSOME MAP; COMPUTER GRAPHICS; COMPUTER PROGRAM; GENE EXPRESSION; GENETIC ASSOCIATION; GENOME; HUMAN; MOUSE; PHENOTYPE; REGRESSION ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; ANIMALS; CHROMOSOME MAPPING; COMPUTATIONAL BIOLOGY; COMPUTER GRAPHICS; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION; GENOME; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MICE; MODELS, STATISTICAL; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; REGRESSION ANALYSIS; SOFTWARE; TRANSCRIPTOME;

EID: 84891376664     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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