Kernel based approach for protein fold prediction from sequence

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 IV, Issue , 2004, Pages 2885-2888

  Langlois, Robert E ^a   Diec, Alice ^a   Dai, Yang ^a   Lu, Hui ^a  

^a University of Illinois at Chicago   (United States)

Author keywords

Fold recognition; Machine learning; Proteomics; Support vector machines

Indexed keywords

ACOUSTIC NOISE; GENES; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; VECTORS;

FOLD RECOGNITION; KERNEL BASED APPROACH; PROTEOMICS; SUPPORT VECTOR MACHINES;

KNOWLEDGE BASED SYSTEMS;

EID: 11144277880     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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