Datamining for Protein Sequence Analysis - Softcover

Lakshmi, R. Deepa; Venkateswaran, C. Jothi

 
9783330005068: Datamining for Protein Sequence Analysis
Softcover
ISBN 10: 3330005068 ISBN 13: 9783330005068
Verlag: LAP LAMBERT Academic Publishing, 2017

Inhaltsangabe

Data Mining of protein sequence databases poses challenges because many protein sequences are non-relational, whereas most Data Mining algorithms assume the input data to be relational database. Further, raw protein sequence database does not provide meaningful information until it is segregated into meaningful category. In this book, 1700 VEGF (Vascular Endothelial Growth Factor) Protein sequence dataset have been used and Data Mining algorithms are used for prediction. In Biocomputing, Data Mining (DM) techniques are widely used for prediction of protein structure. Interpreting voluminous Biological data is complex and the need for Data Mining concepts is significant. Molecular data such as DNA/Protein sequence, level of genetic expression, biochemical pathways, biomarkers and protein structures constitute a major part of biological data. The book discusses how standard Data Mining techniques such as extraction of protein data, segregation by clustering, association and visualization on a real time protein sequence dataset are performed. The existing integrated tool BioParisodhana is compared with BioBCDM where the novel tool outperforms BioParisodhana.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Authors Special interests in research include Bioinformatics, Data Mining and they Published articles with high Impact Factor and Scopus indexed. This book will be a motivation to the blooming researchers in Bioinformatics and Data mining. It will definitely quench the thirst of computer science researchers interested in bioinformatics.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3330005068
ISBN 13 
9783330005068
Einband
Taschenbuch
Anzahl der Seiten
168
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Edicoes Nosso Conhecimento
customerservice@vdm-vsg.de

SIA
Riga
1039
Litauen