Network Inference in Molecular Biology

by: Jesse M. Lingeman - Dennis Shasha

Network Inference in Molecular Biology
Author: Jesse M. Lingeman, Dennis Shasha

Publisher: Springer-Verlag New York Inc.

Series: Springerbriefs in Electrical and Computer Engineering

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Format: Paperback / softback

Publication date: 26 May 2012

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ISBN: 1461431123 ISBN 13: 9781461431121

Complete description

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. Top page

General info

Publisher & Imprint: Springer-Verlag New York Inc.

City: New York, NY

Pages: 112

More info: height 234 mm width 156 mm weight 183 gr thickness 5 mm

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Age recommended: Professional and scholarly

Subject Indexing & Classification Dewey:(DC23) 570.285

Departments: Molecular biology;

Record updated at: 14 June, 2013 time: 14:50

Summary Network Inference in Molecular Biology The Gene Network Inference Problem.- Experimental Inputs.- Running Examples.- Overall Workflow of Inference.- Sample Pipelines.- Roll Your Own Pipeline.- Appendix. Top page

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