Soft Computing for Biological Systems Soft Computing for Biological Systems

Soft Computing for Biological Systems

Hemant J. Purohit and Others
    • $129.99
    • $129.99

Publisher Description

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.

GENRE
Computers & Internet
RELEASED
2018
February 19
LANGUAGE
EN
English
LENGTH
312
Pages
PUBLISHER
Springer Nature Singapore
SELLER
Springer Nature B.V.
SIZE
3.6
MB
Advances in Bioinformatics Advances in Bioinformatics
2021
Bioinformatics Bioinformatics
2009
Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology
2022
Concise Encyclopaedia of Bioinformatics and Computational Biology Concise Encyclopaedia of Bioinformatics and Computational Biology
2014
Network Biology Network Biology
2017
Statistical Genomics Statistical Genomics
2023
Mining of Microbial Wealth and MetaGenomics Mining of Microbial Wealth and MetaGenomics
2017
Optimization and Applicability of Bioprocesses Optimization and Applicability of Bioprocesses
2018