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© 2016

Application of Computational Intelligence to Biology

  • Ravi Bhramaramba
  • Akula Chandra Sekhar
Book

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the Springer Briefs in Forensic and Medical Bioinformatics book sub series (BRIEFSFOMEBI)

Table of contents

About this book

Introduction


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.

Keywords

Comparative genomics Diabetes mellitus Learning based optimization Gene functional enrichment Protein-protein interaction Support Vector Machines Fuzzy-rough classifier

Editors and affiliations

  • Ravi Bhramaramba
    • 1
  • Akula Chandra Sekhar
    • 2
  1. 1.GITAM UniversityVisakhapatnamIndia
  2. 2.Sanketika Institute of TechnologyVisakhapatnamIndia

About the editors


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.

Bibliographic information

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