✦ LIBER ✦

[SpringerBriefs in Electrical and Computer Engineering] Network Inference in Molecular Biology || Step 3: Using Time-Series Data

✍ Scribed by Lingeman, Jesse M.; Shasha, Dennis

Book ID: 119968093
Publisher: Springer New York
Year: 2012
Tongue: English
Weight: 560 KB
Edition: 2012
Category: Article
ISBN: 1461431131
DOI: 10.1007/978-1-4614-3113-8_4

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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