Computational Intelligence Techniques for Comparative Genomics

Dedicated to Prof. Allam Appa Rao on the Occasion of His 65th Birthday

Häftad, Engelska, 2014

Av Naresh Babu Muppalaneni, Vinit Kumar Gunjan

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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.

Produktinformation

Utgivningsdatum2014-12-11
Mått155 x 235 x 9 mm
Vikt248 g
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Applied Sciences and Technology
Antal sidor137
Upplaga2015
FörlagSpringer Verlag, Singapore
ISBN9789812873378

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin
Hälsoinformatik inom Medicin
Brottsutredning och kriminalteknik inom Samhalle och politik
Medicin: diabetes inom Medicin
Sjukdomar och rubbningar inom Medicin
Biovetenskap inom Naturvetenskap och teknik
Tillämpad datateknik inom Data och it
Artificiell intelligens inom Data och it

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.- 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.