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A statistical learning approach to the modeling of chromatographic retention of oligonucleotides incorporating sequence and secondary structure data
We propose a new model for predicting the retention time of oligonucleotides. The model is based on ν support vector regression using features derived from base sequence and predicted secondary structure of oligonucleotides. Because of the secondary structure information, the model is applicable eve...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1919494/ https://www.ncbi.nlm.nih.gov/pubmed/17567619 http://dx.doi.org/10.1093/nar/gkm338 |