Computational Methods for Finding Inferential Bases in Molecular Genetics
Published on 1. October 2012
Book
Hardback
240 pages
978-1-907568-39-8 (ISBN)
Description
Computational methods for finding inferential bases in molecular genetics covers computational methods for selecting relevant biomolecules such as genes and protein kinases with an emphasis on a new method.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-907568-39-8 (9781907568398)
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Schweitzer Classification
Person
Quoc-Nam Tran is a Full Professor of Computer Science at Lamar (Texas State) University. He is the author/editor of four books and 55 publications in journals and proceedings of international conferences. Dr Tran is a specialist in using computational and data mining techniques for bioinformatics. He is also the recipient of nine research grants including three from the National Science Foundation of the US.
Content
Part 1 Introduction: Introduction. Part 2 Computational methods for gene selection: Preliminaries for gene selection and classification methods; Gene selection using Gini ratios and Loren curves; Experimentation. Part 3 Computational methods for quantitative analysis of kinase inhibitor selectivity. Preliminaries for kinase inhibitors and their selectivity; Kinase selection for selectivity analysis; Experimentation. Part 4 Software development: Implementation; Practical usage of the software.