Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application to carcinogenic development

Journal of Biomedical Informatics

Volumn 42, Issue 6, 2009, Pages 1022-1028

  De, Rajat K ^a   Ghosh, Anupam ^b  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b NETAJI SUBHASH ENGINEERING COLLEGE   (India)

Author keywords

Fuzzy sets; High; Low; Medium; P value; t Test

Indexed keywords

HIGH; LOW; MEDIUM; P-VALUE; T-TEST;

ACOUSTIC INTENSITY; BIOACTIVITY; EVOLUTIONARY ALGORITHMS; GENE EXPRESSION; MICROARRAYS; SIGNAL TO NOISE RATIO;

FUZZY SETS;

ARTICLE; BREAST CANCER; CARCINOGENESIS; DNA MICROARRAY; FUZZY SYSTEM; GENE EXPRESSION; GENE IDENTIFICATION; HUMAN; LEUKEMIA; PRIORITY JOURNAL; SIGNAL NOISE RATIO; VALIDATION PROCESS;

COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DATABASES, GENETIC; FUZZY LOGIC; GENE EXPRESSION PROFILING; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 70350572773     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2009.06.003     Document Type: Article

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