Implicit motif distribution based hybrid computational kernel for sequence classification

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Date

2005-04-15

Author

Atalay, Mehmet Volkan

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Motivation: We designed a general computational kernel for classification problems that require specific motif extraction and search from sequences. Instead of searching for explicit motifs, our approach finds the distribution of implicit motifs and uses as a feature for classification. Implicit motif distribution approach may be used as modus operandi for bioinformatics problems that require specific motif extraction and search, which is otherwise computationally prohibitive.

Subject Keywords

Statistics and Probability, Computational Theory and Mathematics, Biochemistry, Molecular Biology, Computational Mathematics, Computer Science Applications

URI

https://hdl.handle.net/11511/40580

Journal

BIOINFORMATICS

DOI

https://doi.org/10.1093/bioinformatics/bti212

Collections

Department of Computer Engineering, Article

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Citation Formats

M. V. Atalay, “Implicit motif distribution based hybrid computational kernel for sequence classification,” BIOINFORMATICS, pp. 1429–1436, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40580.