Application of Computational Intelligence to Biology

Ravi Bhramaramba, Akula Chandra Sekhar (Herausgeber)

Buch | Softcover

102 Seiten

2016 | 1st ed. 2016
Springer Verlag, Singapore
978-981-10-0390-5 (ISBN)

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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.

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.

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.

Erscheinungsdatum	08.10.2016
Reihe/Serie	SpringerBriefs in Applied Sciences and Technology
Reihe/Serie	SpringerBriefs in Forensic and Medical Bioinformatics
Zusatzinfo	42 Illustrations, color; 18 Illustrations, black and white; IX, 102 p. 60 illus., 42 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizinische Fachgebiete ► Innere Medizin ► Diabetologie
	Naturwissenschaften ► Biologie ► Biochemie
	Technik
Schlagworte	comparative genomics • Diabetes mellitus • Fuzzy-rough classifier • Gene functional enrichment • Learning based optimization • protein-protein interaction • Support Vector Machines
ISBN-10	981-10-0390-4 / 9811003904
ISBN-13	978-981-10-0390-5 / 9789811003905
Zustand	Neuware