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SVM based model generation for binding site prediction on helix turn helix motif type of transcription factors in eukaryotes
Support vector machine is a class of machine learning algorithms which uses a set of related supervised learning methods for classification and regression. Nowadays this method is vividly applied to many detection problems related with secondary structure, tumor cell and binding residue prediction....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Biomedical Informatics
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705624/ https://www.ncbi.nlm.nih.gov/pubmed/23861565 http://dx.doi.org/10.6026/97320630009500 |