Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach

Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 120-127

  Mallik, Saurav ^a   Mukhopadhyay, Anirban ^b   Maulik, Ujjwal ^c   Bandyopadhyay, Sanghamitra ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b UNIVERSITY OF KALYANI   (India)

^c JADAVPUR UNIVERSITY   (India)

Author keywords

association rule mining; DNA methylation; Gene expression; Genetic Algorithm (GA) based rank aggregation; rule interestingness measures; statistical tests

Indexed keywords

COMPARATIVE PERFORMANCE ANALYSIS; DNA METHYLATION; EXPERIMENTAL CONDITIONS; K FOLD CROSS VALIDATIONS; RANK AGGREGATION; RULE MINING ALGORITHMS; RULE-BASE CLASSIFIER; RULE-INTERESTINGNESS MEASURES;

ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; DATA MINING; GENE EXPRESSION; GENETIC ALGORITHMS; NUCLEIC ACIDS; STATISTICAL METHODS; STATISTICAL TESTS; TUMORS;

BIOINFORMATICS;

EID: 84885066684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2013.6595397     Document Type: Conference Paper

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