Handbook of Statistical Bioinformatics

Lu, HH-S; Schölkopf, B; Zhao, H

doi:10.1007/978-3-642-16345-6

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Handbook of Statistical Bioinformatics

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Schölkopf, B
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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http://www.springerlink.com/content/k417x8/section=895838page=1
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Citation

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

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-BCF2-2

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.