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Lingeman, Jesse M.; Shasha, Dennis - Network Inference in Molecular Biology - 9781461431121 - V9781461431121
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Network Inference in Molecular Biology

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Description for Network Inference in Molecular Biology Paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 100 pages, 58 black & white illustrations, biography. BIC Classification: PSD; UMB; UNH. Category: (P) Professional & Vocational. Dimension: 234 x 153 x 8. Weight in Grams: 192.

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 ... Read more 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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Product Details

Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
100
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
100
Place of Publication
New York, NY, United States
ISBN
9781461431121
SKU
V9781461431121
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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