Overview
- Aids researchers in the further development of databases,mining,and visualization systems.
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 939)
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About this book
The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes. Data Mining for Systems Biology: Methods and Protocols, surveys and demonstrates the science and technology of converting an unprecedented data deluge to new knowledge and biological insight. The volume is organized around two overlapping themes, network inference and functional inference. Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols also seeks to aid researchers in the further development of databases, mining and visualization systems that are central to the paradigm altering discoveries being made with increasing frequency.
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Keywords
Table of contents (17 protocols)
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining for Systems Biology
Book Subtitle: Methods and Protocols
Editors: Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-62703-107-3
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-62703-106-6Published: 29 November 2012
Softcover ISBN: 978-1-4939-5912-9Published: 23 August 2016
eBook ISBN: 978-1-62703-107-3Published: 30 November 2012
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XII, 279
Topics: Bioinformatics, Systems Biology