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  Handbook of Statistical Bioinformatics

Lu, H.-S., Schölkopf, B., & Zhao, H. (Eds.). (2011). Handbook of Statistical Bioinformatics. Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BCF2-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-988E-3
Genre: Book

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http://www.springerlink.com/content/k417x8/section=895838page=1 (Publisher version)
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 Creators:
Lu, HH-S, Editor
Schölkopf, B1, Editor           
Zhao, H, Editor
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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 Abstract: Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.

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 Dates: 2011
 Publication Status: Issued
 Pages: 627
 Publishing info: Berlin, Germany : Springer
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 978-3-642-16344-9
DOI: 10.1007/978-3-642-16345-6
BibTex Citekey: LuSZ2011
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Title: Springer Handbooks of Computational Statistics
Source Genre: Series
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -