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Computational Intelligence Techniques for Comparative Genomics -

Computational Intelligence Techniques for Comparative Genomics (eBook)

Dedicated to Prof. Allam Appa Rao on the Occasion of His 65th Birthday
eBook Download: PDF
2014 | 2015
XVIII, 137 Seiten
Springer Singapore (Verlag)
978-981-287-338-5 (ISBN)
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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.

Dr. M Naresh Babu obtained his PhD in computer Science/Bioinformatics from Acharya Nagarjuna University in India. He is currently an Assistant Professor at the C R Rao Advanced Institute for Mathematics, Statistics and Computer Science. His research interests are in the area of Cryptography and Bioinformatics.

Mr. Vinit Kumar Gunjan is an Assistant Professor at AITS, Rajampet India. He also serves as the Secretary of IEEE Computer Society of Hyderabad Chapter. He worked with Tata Consultancy Services and SET Noida before joining AITS. Vinit is member of several IEEE Societies, ACM, ACCS, IE and others. He has several National and International Publications to his credit


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.

Dr. M Naresh Babu obtained his PhD in computer Science/Bioinformatics from Acharya Nagarjuna University in India. He is currently an Assistant Professor at the C R Rao Advanced Institute for Mathematics, Statistics and Computer Science. His research interests are in the area of Cryptography and Bioinformatics.Mr. Vinit Kumar Gunjan is an Assistant Professor at AITS, Rajampet India. He also serves as the Secretary of IEEE Computer Society of Hyderabad Chapter. He worked with Tata Consultancy Services and SET Noida before joining AITS. Vinit is member of several IEEE Societies, ACM, ACCS, IE and others. He has several National and International Publications to his credit

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.

Erscheint lt. Verlag 1.12.2014
Reihe/Serie SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Forensic and Medical Bioinformatics
SpringerBriefs in Forensic and Medical Bioinformatics
Zusatzinfo XVIII, 137 p. 61 illus., 41 illus. in color.
Verlagsort Singapore
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Bioinformatik
Medizinische Fachgebiete Innere Medizin Diabetologie
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Recht / Steuern Strafrecht Kriminologie
Sozialwissenschaften
Technik Bauwesen
Schlagworte AIDS Severity • Breast Cancer • comparative genomics • Diabetes • Diabetes Model • Gene functional enrichment • Learning based optimization • protein-protein interaction • Protein Secondary Structure • TACR1 Gene
ISBN-10 981-287-338-4 / 9812873384
ISBN-13 978-981-287-338-5 / 9789812873385
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