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Computational Methods for Predicting Post-Translational Modification Sites - Methods in Molecular Biology 2022 edition
Computational Methods for Predicting Post-Translational Modification Sites - Methods in Molecular Biology
Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features.
326 pages, 60 Illustrations, color; 6 Illustrations, black and white; XVII, 326 p. 66 illus., 60 ill
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 14 de junio de 2022 |
| ISBN13 | 9781071623169 |
| Editores | Springer-Verlag New York Inc. |
| Páginas | 326 |
| Dimensiones | 150 × 220 × 20 mm · 845 g |
| Lengua | Inglés |
| Editor | KC, Dukka B. |