Discovering significant and interpretable patterns from multifactorial DNA microarray data with poor replication

Journal of Biomedical Informatics

Volumn 37, Issue 4, 2004, Pages 260-268

  Kim, Ju Han ^a   Jeoung, Dooil ^b   Lee, Seongeun ^c   Kim, Hyeouneui ^d  

^a Seoul National University College of Medicine   (South Korea)

^b Kangwon National University   (South Korea)

^c Chuncheon 200 701 Republic of Korea ^*  (South Korea)

^d UNIVERSITY OF MINNESOTA   (United States)

Author keywords

DNA microarray; Gastric cancer; Gene expression; Genetic algorithm; Pattern recognition

Indexed keywords

CISPLATIN; DOXORUBICIN; FLUOROURACIL; IRINOTECAN; METHOTREXATE; PACLITAXEL;

ANALYSIS OF VARIANCE; ARTICLE; CELL LINE; DIGESTIVE SYSTEM CANCER; DNA MICROARRAY; DNA REPLICATION; DRUG EFFECT; FACTORIAL ANALYSIS; GENE EXPRESSION; GENETIC ALGORITHM; HUMAN; HUMAN CELL; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; FACTOR ANALYSIS, STATISTICAL; GENE EXPRESSION PROFILING; GENETIC SCREENING; HUMANS; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, DNA; STOMACH NEOPLASMS; VARIATION (GENETICS);

EID: 4744346660     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2004.07.011     Document Type: Article

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