Soft computing for biological systems /

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Bibliographic Details
Imprint:Singapore : Springer, 2018.
Description:1 online resource (xii, 300 pages) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11543594
Hidden Bibliographic Details
Other authors / contributors:Purohit, H. J. (Hemant J.), editor.
Kalia, Vipin Chandra, editor.
More, Ravi Prabhakar, editor.
ISBN:9789811074554
9811074550
9789811074561
9811074569
9789811339516
9811339511
9789811074547
9811074542
Digital file characteristics:text file PDF
Notes:Includes index.
Online resource; title from PDF title page (SpringerLink, viewed February 26, 2018).
Summary: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.
Other form:Print version: Soft computing for biological systems. Singapore : Springer, 2018 9811074542 9789811074547
Standard no.:10.1007/978-981-10-7455-4