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Implicit motif distribution based hybrid computational kernel for sequence classification
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Date
2005-04-15
Author
Atalay, Mehmet Volkan
Atalay, Rengül
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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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BibTeX
M. V. Atalay and R. Atalay, “Implicit motif distribution based hybrid computational kernel for sequence classification,”
BIOINFORMATICS
, vol. 21, no. 8, pp. 1429–1436, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40580.