Feature selection using a random forests classifier for the integrated analysis of multiple data types

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06

Volumn , Issue , 2006, Pages 171-178

  Reif, David M ^a,b   Motsinger, Alison A ^a   McKinney, Brett A ^a,b,c   Crowe Jr , James E ^c   Moore, Jason H ^b  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b DARTMOUTH MEDICAL SCHOOL   (United States)

^c VANDERBILT UNIVERSITY   (United States)

Author keywords

Data integration; Feature selection; Gene gene interactions; Multiple data types; Random Forests

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOCOMMUNICATIONS; BIOINFORMATICS; BIOLOGICAL SYSTEMS; CHLORINE COMPOUNDS; INFORMATION SCIENCE; INTELLIGENT CONTROL; RANDOM PROCESSES;

COMPUTATIONAL BIOLOGY; COMPUTATIONAL INTELLIGENCE; CONTINUOUS DATA; DATA INTEGRATION; DATA TYPING; DATA-SETS; EXPERIMENTAL DATA; FEATURE SELECTION; GENE-GENE INTERACTIONS; GENETIC DATA; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL DATA; INTEGRATED ANALYSIS; MAIN EFFECTS; MULTIPLE DATA; MULTIPLE DATA TYPES; PROTEIN-PROTEIN INTERACTIONS; RANDOM FORESTS;

FLOW INTERACTIONS;

EID: 50249116072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2006.330987     Document Type: Conference Paper

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