Super granular shrink-SVM feature elimination (Super GS-SVM-FE) model for protein sequence motif information extraction

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Volumn , Issue , 2007, Pages 379-386

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

^a GEORGIA STATE UNIVERSITY   (United States)

^b Biology Department   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; SUPPORT VECTOR MACHINES;

DATA SETS; FE MODELS; GRANULAR COMPUTING; INFORMATION EXTRACTIONS; INFORMATION QUALITIES; NEW APPROACHES; PROTEIN FAMILIES; PROTEIN MOTIFS; PROTEIN SEQUENCES; SEQUENCE ANALYSIS;

FEATURE EXTRACTION;

EID: 47649091429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375591     Document Type: Conference Paper

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