Detecting phenotype-specific interactions between biological processes from microarray data and annotations

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 9, Issue 5, 2012, Pages 1399-1409

  Ansari, Nadeem A ^a   Bao, Riyue ^b   Voichiţa, Cǎlin ^c   Drǎghici, Sorin ^b,c,d  

^a MICROSOFT   (United States)

^b WAYNE STATE UNIVERSITY   (United States)

^c Wayne State University   (United States)

^d WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

biological processes; gene ontology; microarrays; Phenotype specific interactions; single value decomposition

Indexed keywords

BIOLOGICAL INTERPRETATION; BIOLOGICAL PROCESS; BREAST CANCER; DIFFERENTIALLY EXPRESSED GENE; DIMENSIONALITY REDUCTION; EXPRESSION LEVELS; GENE ONTOLOGY; HIGH THROUGHPUT TECHNOLOGY; LUNG CANCER; MICROARRAY DATA; REAL DATA SETS; SINGLE VALUE DECOMPOSITIONS; UNDER-REPRESENTED; VOLUMINOUS DATA;

BIOLOGICAL ORGANS; DISEASES; GENES;

MICROARRAYS;

ALGORITHM; ARTICLE; BREAST TUMOR; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; GENOMICS; HUMAN; LUNG TUMOR; METHODOLOGY; MOLECULAR GENETICS; PHENOTYPE;

ALGORITHMS; BREAST NEOPLASMS; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENOMICS; HUMANS; LUNG NEOPLASMS; MOLECULAR SEQUENCE ANNOTATION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PHENOTYPE;

EID: 84864938690     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2012.65     Document Type: Review

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