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)
Systemvoraussetzungen
53,49 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
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
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 6,2 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
24,90