Network Inference in Molecular Biology - A Hands-on Framework (Paperback, 2012 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	June 2012
First published:	2012
Authors:	Jesse M. Lingeman • Dennis Shasha
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	100
Edition:	2012 ed.
ISBN-13:	978-1-4614-3112-1
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	1-4614-3112-3
Barcode:	9781461431121

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!