Super granular SVM feature elimination (super GSVM-FE) model for protein sequence motif informnation extraction

2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB 2007

Volumn , Issue , 2007, Pages 317-322

  Chen, Bernard ^a   Pellicer, Stephen ^a   Tai, Phang C ^b   Harrison, Robert ^a,b   Pan, Yi ^a  

^a GEORGIA STATE UNIVERSITY   (United States)

^b Department of Biology ^*  (United States)

Author keywords

Feature Elimination; FGK Model; FIK Model; Protein Sequence Motif; Ranking SVM

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; FINITE ELEMENT METHOD; GRANULAR COMPUTING; GRANULATION; LARGE DATASET; PROTEINS; QUALITY CONTROL; SUPPORT VECTOR MACHINES;

EVALUATION MEASURES; FEATURE ELIMINATION; FUZZY C MEANS CLUSTERING; GRANULAR COMPUTING MODELS; PROTEIN SEQUENCES; RANKING SVM; SEQUENCE ANALYSIS; SLIDING WINDOW TECHNIQUES;

INFORMATION GRANULES;

EID: 47649125999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cibcb.2007.4221239     Document Type: Conference Paper

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