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 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.
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.
| ISBN: | 9789811339516 |
|---|---|
| Sprache: | Englisch |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Kalia, Vipin Chandra More, Ravi Prabhakar Purohit, Hemant J. |
| Verlag: | Springer Nature EN |
| Veröffentlicht: | 01.02.2019 |
| Schlagworte: | B Biomedical Engineering/Biotechnology Biomedical and Life Sciences Biomedical engineering Computational Biology/Bioinformatics Computational and Systems Biology Gene Expression Gene Function Information technology: general issues Life sciences: general issues Medical Genetics bioinformatics biotechnology |
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