Soft Computing for Biological Systems
This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with avail...
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Singapore :
Springer Singapore : Imprint: Springer
2018.
|
| Colección: | Springer eBooks.
|
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b38057529*spi |
| Sumario: | This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with available information.The book also focuses on using the soft-computing approach to predict protein-protein interactions, gene expression and networks. The insights from these studies can be used in metagenomic data analysis and predicting artificial neural networks. |
|---|---|
| Descripción Física: | XII, 300 p. 43 il., 31 il. col |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9789811074554 |
