Mismatch string kernels for discriminative protein classification | Zendy

Christina Leslie | Zendy; Eleazar Eskin | Zendy; Adiel Cohen | Zendy; Jason Weston | Zendy; William Stafford Noble | Zendy

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Mismatch string kernels for discriminative protein classification

Author(s) -

Christina Leslie,

Eleazar Eskin,

Adiel Cohen,

Jason Weston,

William Stafford Noble

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg431

Subject(s) - discriminative model , pattern recognition (psychology) , support vector machine , artificial intelligence , classifier (uml) , computer science , string kernel , generative model , machine learning , kernel (algebra) , hidden markov model , kernel method , generative grammar , mathematics , radial basis function kernel , combinatorics

Classification of proteins sequences into functional and structural families based on sequence homology is a central problem in computational biology. Discriminative supervised machine learning approaches provide good performance, but simplicity and computational efficiency of training and prediction are also important concerns.

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