TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-10-7455-4
DO  - doi
AB  - 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.
T1  - Soft computing for biological systems /
AU  - Purohit, H. J.
AU  - Kalia, Vipin Chandra,
AU  - More, Ravi Prabhakar,
CN  - QH324.2
N1  - Includes index.
ID  - 826446
KW  - Computational biology.
KW  - Systems biology.
KW  - Soft computing.
SN  - 9789811074554
SN  - 9811074550
TI  - Soft computing for biological systems /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-7455-4
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-7455-4
ER  -