Implicit motif distribution based hybrid computational kernel for sequence classification

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2005-04-15
Atalay, Mehmet Volkan
Atalay, Rengül
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.
Citation Formats
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.