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Book Cover
Author Lingeman, Jesse M

Title Network inference in molecular biology : a hands-on framework / Jesse M. Lingeman, Dennis Shasha
Published New York, NY : Springer, ©2012


Description 1 online resource
Series SpringerBriefs in electrical and computer engineering, 2191-8112
SpringerBriefs in electrical and computer engineering.
Contents Overview of Network Inference -- Clustering Data -- Step 2: Use Steady State Data for Network Inference -- Step 3: Using Time-Series Data -- Pipelines
Summary 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
Analysis Computer science
Computer software
Computational Biology/Bioinformatics
Algorithm Analysis and Problem Complexity
Bibliography Includes bibliographical references and index
Notes English
Subject Bioinformatics.
Systems biology.
Gene regulatory networks.
Molecular Biology
Gene Regulatory Networks
Systems Biology
Computational Biology
NATURE -- Reference.
SCIENCE -- Life Sciences -- Biology.
SCIENCE -- Life Sciences -- General.
Systems biology.
Form Electronic book
Author Shasha, Dennis Elliott.
ISBN 9781461431138