Network Inference in Molecular Biology is popular PDF and ePub book, written by Jesse M. Lingeman in 2012-05-24, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Network Inference in Molecular Biology can be Read Online from any device for your convenience.
Network Inference in Molecular Biology Book PDF 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 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.
Detail Book of Network Inference in Molecular Biology PDF
- Author : Jesse M. Lingeman
- Release : 24 May 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461431138
- Genre : Computers
- Total Page : 106 pages
- Language : English
- PDF File Size : 8,6 Mb
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