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Application of Computational Intelligence to Biology

  • Book
  • © 2016

Overview

Editors:
  1. Ravi Bhramaramba

    1. GITAM University, Visakhapatnam, India

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    You can also search for this editor in PubMed   Google Scholar

  2. Akula Chandra Sekhar

    1. Sanketika Institute of Technology, Visakhapatnam, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

Part of the book sub series: SpringerBriefs in Forensic and Medical Bioinformatics (BRIEFSFOMEBI)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Enhancing the Performance of Multi-parameter Patient Monitors by Homogeneous Kernel Maps

    • S. Premanand, S. Sugunavathy
    Pages 1-7

  3. Augmenting the Performance of Multi-patient Parameter Monitoring System in LKSVM

    • S. Premanand, S. Sugunavathy
    Pages 9-18

  4. An Efficient Classification Model Based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data

    • M. Sujatha, G. Lavanya Devi, N. Naresh, K. Srinivasa Rao
    Pages 19-27

  5. A Comparative Study of Various Minutiae Extraction Methods for Fingerprint Recognition Based on Score Level Fusion

    • P. Aruna Kumari, G. JayaSuma
    Pages 29-41

  6. Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy

    • Fahimuddin Shaik, Anil Kumar Sharma, Syed Musthak Ahmed
    Pages 43-60

  7. Computational Screening of DrugBank DataBase for Novel Cell Cycle Inhibitors

    • Satyanarayana Kotha, Yesu Babu Adimulam, R. Kiran Kumar
    Pages 61-70

  8. Pathway Analysis of Highly Conserved Mitogen Activated Protein Kinases (MAPKs)

    • N. Deepak, Yesu babu Adimulam, R. Kiran Kumar
    Pages 71-82

  9. Identification of Drug Targets from Integrated Database of Diabetes Mellitus Genes Using Protein-Protein Interactions

    • Duggineni Kalyani, Naresh Babu Muppalaneni, Ch Ambedkar, Kiran Kumar Reddi
    Pages 83-86

  10. Distributed Data Mining for Modeling and Prediction of Skin Condition in Cosmetic Industry—A Rough Set Theory Approach

    • P. M. Prasuna, Y. Ramadevi, A. Vinay Babu
    Pages 87-102
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Keywords

About this book


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.

Editors and Affiliations

  • GITAM University, Visakhapatnam, India

    Ravi Bhramaramba

  • Sanketika Institute of Technology, Visakhapatnam, India

    Akula Chandra Sekhar

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.

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