| 书目名称 | Soft Computing for Biological Systems |
| 编辑 | Hemant J. Purohit,Vipin Chandra Kalia,Ravi Prabhak |
| 视频video | http://file.papertrans.cn/871/870464/870464.mp4 |
| 概述 | Includes well-illustrated chapters for easy understanding of methodologies.Provides the most recent research in the area of soft-computing analysis.Discusses how the insights from various computationa |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2018 |
| 关键词 | computation; bioinformatics; gene expression; neural networks; machine learning; diagnostic prediction |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-7455-4 |
| isbn_softcover | 978-981-13-3951-6 |
| isbn_ebook | 978-981-10-7455-4 |
| copyright | Springer Nature Singapore Pte Ltd. 2018 |
|Archiver|手机版|小黑屋|
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