Network Inference in Molecular Biology

Network Inference in Molecular Biology

EnglishPaperback / softbackPrint on demand
Lingeman Jesse M.
Springer-Verlag New York Inc.
EAN: 9781461431121
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Detailed information

Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for every data set.

Network Inference in Molecular Biology examines the current techniques used by researchers, and provides key insights into which algorithms best fit a collection of data. Through a series of in-depth examples, the book also outlines how to mix-and-match algorithms, in order to create one tailored to a specific data situation.

Network Inference in Molecular Biology is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable.

EAN 9781461431121
ISBN 1461431123
Binding Paperback / softback
Publisher Springer-Verlag New York Inc.
Publication date May 25, 2012
Pages 100
Language English
Dimensions 235 x 155
Country United States
Authors Lingeman Jesse M.; Shasha Dennis
Illustrations 58 Illustrations, black and white; IX, 100 p. 58 illus.
Edition 2012 ed.
Series SpringerBriefs in Electrical and Computer Engineering
Manufacturer information
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