Identification of differentially expressed subnetworks based on multivariate ANOVA

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Hwang, Taeyoung ^a   Park, Taesung ^a  

^a Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EXPRESSION DATA; GENE EXPRESSION DATA; HIGHLY SENSITIVE DETECTIONS; HIGHLY-CORRELATED; HUMAN MICROARRAYS; MULTIVARIATE ANALYSIS OF VARIANCES; PROTEIN-PROTEIN INTERACTIONS; SEARCH ALGORITHMS;

COMPLEX NETWORKS; GENE EXPRESSION;

PROTEINS;

ARTICLE; BIOINFORMATICS; DNA MICROARRAY; FIBROBLAST CULTURE; HUMAN; MICROARRAY ANALYSIS; MULTIVARIATE ANALYSIS OF VARIANCE; PHENOTYPE; PROSTATE CANCER; PROTEIN PROTEIN INTERACTION; SENSITIVITY AND SPECIFICITY; SIGNAL TRANSDUCTION; SIMULATION; STATISTICAL ANALYSIS; ALGORITHM; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; FIBROBLAST; GENE EXPRESSION PROFILING; MALE; METABOLISM; METHODOLOGY; PROSTATE TUMOR; PROTEIN ANALYSIS; PROTEIN DOMAIN; PROTEOMICS;

ALGORITHMS; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; FIBROBLASTS; GENE EXPRESSION PROFILING; HUMANS; MALE; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROSTATIC NEOPLASMS; PROTEIN INTERACTION DOMAINS AND MOTIFS; PROTEIN INTERACTION MAPPING; PROTEOMICS; SENSITIVITY AND SPECIFICITY;

EID: 67649208263     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-128     Document Type: Article

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