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Handbook of Machine Learning Applications for Genomics - Studies in Big Data 2022 edition
Handbook of Machine Learning Applications for Genomics - Studies in Big Data
In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine.
218 pages, 60 Illustrations, color; 15 Illustrations, black and white; X, 218 p. 75 illus., 60 illus
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 24 de junio de 2022 |
| ISBN13 | 9789811691577 |
| Editores | Springer Verlag, Singapore |
| Páginas | 218 |
| Dimensiones | 150 × 220 × 20 mm · 512 g |
| Editor | Roy, Sanjiban Sekhar |
| Editor | Taguchi, Y.-H. |