Soft Computing for Biological Systems

• Corporate Author: SpringerLink (Online service)
• Other Authors: Purohit, Hemant J. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kalia, Vipin Chandra (Editor, http://id.loc.gov/vocabulary/relators/edt), More, Ravi Prabhakar (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Bioinformatics.; Gene expression.; Biomedical engineering.; Medical genetics.; Gene Expression.; Biomedical Engineering/Biotechnology.; Computational Biology/Bioinformatics.; Gene Function.
• Physical Description: XII, 300 p. 43 illus., 31 illus. in color. online resource.
• ISBN: 9789811074554
• DOI: 10.1007/978-981-10-7455-4

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.