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Computational intelligence technique...

Muppalaneni, Naresh Babu.

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Computational intelligence techniques for comparative genomics = dedicated to Prof. Allam Appa Rao on the occasion of his 65th birthday /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence techniques for comparative genomics/ edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan.
Reminder of title:	dedicated to Prof. Allam Appa Rao on the occasion of his 65th birthday /
other author:	Muppalaneni, Naresh Babu.
Published:	Singapore :Springer Singapore : : 2015.,
Description:	xviii, 137 p. :ill., digital ;24 cm.
[NT 15003449]:	Diversified Insulin Associated Beta-behavioral & Endogenously Triggered Exposed Symptoms (Diabetes) Model of Diabetes in India -- Automatic Teaching Learning Based Optimization: A Novel Clustering Method For Gene Functional Enrichments -- A Comparative Study of Methodologies of Protein Secondary Structure -- A sparse modeled ROI for GLAM construction in image classification problems – A case study of Breast Cancer -- A Survey on Identification of Protein Complexes in Protein-Protein Interaction Data: Methods and Evaluation -- Modeling Artificial Life: A cellular Automata Approach -- Identification of Deleterious Snps in TACR1 Gene Using Genetic algorithm -- Identification of AIDS Disease Severity Using Genetic Algorithm -- A Novel Clustering Approach Using Hadoop Distributed Environment -- Framework for Evaluation of Programming Language Examinations -- An Efficient Data Integration Framework in Cloud using Map Reduce.
Contained By:	Springer eBooks
Subject:	Computational intelligence. -
Online resource:	http://dx.doi.org/10.1007/978-981-287-338-5
ISBN:	9789812873385 (electronic bk.)

Computational intelligence techniques for comparative genomics = dedicated to Prof. Allam Appa Rao on the occasion of his 65th birthday /
Computational intelligence techniques for comparative genomicsdedicated to Prof. Allam Appa Rao on the occasion of his 65th birthday /[electronic resource] :edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan. - Singapore :Springer Singapore :2015. - xviii, 137 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Diversified Insulin Associated Beta-behavioral & Endogenously Triggered Exposed Symptoms (Diabetes) Model of Diabetes in India -- Automatic Teaching Learning Based Optimization: A Novel Clustering Method For Gene Functional Enrichments -- A Comparative Study of Methodologies of Protein Secondary Structure -- A sparse modeled ROI for GLAM construction in image classification problems – A case study of Breast Cancer -- A Survey on Identification of Protein Complexes in Protein-Protein Interaction Data: Methods and Evaluation -- Modeling Artificial Life: A cellular Automata Approach -- Identification of Deleterious Snps in TACR1 Gene Using Genetic algorithm -- Identification of AIDS Disease Severity Using Genetic Algorithm -- A Novel Clustering Approach Using Hadoop Distributed Environment -- Framework for Evaluation of Programming Language Examinations -- An Efficient Data Integration Framework in Cloud using Map Reduce.

This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers. Chapters include the Bioinformatics of Diabetes and several computational algorithms and statistical analysis approach to effectively study the disorders and possible causes along with medical applications.

ISBN: 9789812873385 (electronic bk.)

Standard No.: 10.1007/978-981-287-338-5doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence techniques for comparative genomics = dedicated to Prof. Allam Appa Rao on the occasion of his 65th birthday /
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520 $a This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers. Chapters include the Bioinformatics of Diabetes and several computational algorithms and statistical analysis approach to effectively study the disorders and possible causes along with medical applications.
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700 1 $a Muppalaneni, Naresh Babu. $3 2131961
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