Application of Computational Intelligence to Biology

This book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers.

Autorentext

Dr. R. Bhramaramba is an Associate Professor in the Department of Information Technology, GITAM University. She received her PhD from JNTU Hyderabad and MS from BITS Pilani. She has published her research contributions in various reputable International Journals. Her research interests are Principal Components Analysis(PCA), Mathematical Analysis to various biological problems.

Dr Akula Chandra Sekhar is a Professor & Principal in Sanketika Institute of Technology, Visakhapatnam. He was awarded PhD from Acharya Nagarjuna University for research on investigating drugs for PPAR gamma of diabetes mellitus. His research interests are QSAR studies, research on Diabetes Mellitus.

Inhalt

Enhancing the performance of Multi-parameter Patient Monitors by Homogeneous Kernel Maps.- Augmenting the performance of Multi-patient Parameter Monitoring system.- An Efficient Classification Model based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data.- A Comparative Study of Various Minutiae Extraction Methods for Fingerprint Recognition Based on Score Level Fusion.- Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy.- Computational Screening of DrugBank DataBase for Novel Cell Cycle Inhibitors.- Pathway analysis of highly conserved Mitogen Activated Protein Kinases (MAPKs).- Identification of drug targets from integrated database of diabetes mellitus Genes using Protein-Protein Interactions.- Distributed Data Mining for modeling and prediction of skin condiction in Cosmetic Industry - A Rough Set Theory Approach.