Data mining techniques for the life sciences /

Saved in:

Bibliographic Details
Imprint:	New York, N.Y. : Humana Press, ©2010.
Description:	1 online resource (xii, 407 pages) : illustrations
Language:	English
Series:	Springer protocols Methods in molecular biology, 1064-3745 ; 609 Springer protocols (Series) Methods in molecular biology (Clifton, N.J.) ; v. 609.
Subject:	Life sciences -- Data processing. Data mining. Digital computer simulation. Computer simulation. Computational Biology -- methods Data Mining Computer Simulation Databases, Genetic Digital computer simulation Computer simulation Data mining Life sciences -- Data processing Laboratory Manual Laboratory manuals.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11228181

Hidden Bibliographic Details
Other authors / contributors:	Carugo, Oliviero. Eisenhaber, Frank.
ISBN:	9781603272414 1603272410 9781603272407 1603272402
Notes:	Includes bibliographical references and index. Print version record.
Summary:	This book contributes valuable information about the sources of information and the techniques used for "mining" new insights out of databases. Beginning with a section covering the concepts and structures of important groups of databases for biomolecular mechanism research, the book continues with sections on formal methods for analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes.
Other form:	Print version: Data mining techniques for the life sciences. New York, N.Y. : Humana Press, ©2010 9781603272407 1603272402

Similar Items