1.

Record Nr.

UNINA9910254239703321

Titolo

Application of Computational Intelligence to Biology / / edited by Ravi Bhramaramba, Akula Chandra Sekhar

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016

ISBN

981-10-0391-2

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (107 p.)

Collana

SpringerBriefs in Forensic and Medical Bioinformatics, , 2196-8845

Disciplina

570.28563

Soggetti

Computational intelligence

Bioinformatics

Diabetes

Proteins 

Biomedical engineering

Health informatics

Computational Intelligence

Computational Biology/Bioinformatics

Protein Structure

Biomedical Engineering and Bioengineering

Health Informatics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

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.

Sommario/riassunto

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.