Identifying functional binding motifs of tumor protein p53 using support vector machines

Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007

Volumn , Issue , 2007, Pages 506-511

  Sinha, Amit U ^a   Phatak, Mukta ^a   Bhatnagar, Raj ^a   Jegga, Anil G ^b  

^a University of Cincinnati

^b Cincinnati Children's Hospital   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINDING PARTNERS; COOPERATIVE BINDING; CROSS-VALIDATION (CV); DATA SETS; FALSE POSITIVE (FP); FLANKING REGIONS; FUNCTIONAL BINDING; IMPLICIT MODELLING; INTERNATIONAL CONFERENCES; MACHINE-LEARNING; MULTI-LAYER SUPPORT VECTOR MACHINES (SVM) CLASSIFIERS; TEST SETS; TRANSCRIPTION FACTOR BINDING SITE (TFBS); VECTOR MACHINES;

ARTIFICIAL INTELLIGENCE; BINDING ENERGY; BIOCHEMISTRY; BIOINFORMATICS; DNA SEQUENCES; LEARNING SYSTEMS; NUCLEIC ACIDS; ORGANIC ACIDS; PROTEINS; ROBOT LEARNING; SUPPORT VECTOR MACHINES; TRANSCRIPTION; TRANSCRIPTION FACTORS;

BINDING SITES;

EID: 47349114777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.53     Document Type: Conference Paper

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