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Can I read Data Mining Techniques for the Life Sciences (Methods in Molecular Biology (609)) on EtoBox?
Data Mining Techniques for the Life Sciences (Methods in Molecular Biology (609)) by Stefan Washietl, Ivo L. Hofacker (auth.), Oliviero Carugo, Frank Eisenhaber (eds.) is a nonfiction available to read on EtoBox.
What is Data Mining Techniques for the Life Sciences (Methods in Molecular Biology (609)) about?
Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms of biological function and biomolecular mechanisms. In __Data Mining Techniques for the Life Sciences__, experts in the field contribute valuable information about the sources of information and the techniques used for "mining" new insights out of databases. Beginning with a section covering the concepts and structures of important groups of databases for biomolecular mechanism research, the book then continues with sections on formal methods for analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes. As a volume of the highly successful __Methods in Molecular Biology__TM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and easy to reference, __Data Mining Techniques for the Life Sc
Who reads Data Mining Techniques for the Life Sciences (Methods in Molecular Biology (609))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Stefan Washietl, Ivo L. Hofacker (auth.), Oliviero Carugo, Frank Eisenhaber (eds.)
- Publisher
- Humana Press : Imprint : Humana
- Published
- 2010
- Language
- EN
- ISBN
- 9781603272407
- Category
- nonfiction
- Subjects
- Science, Computer Science, Biology
Other editions & translations
- Data Mining Techniques for the Life Sciences (Methods in Molecular Biology, 1415) (2016)
- Open Software/Hardware Platform for Human- Computer Interface Based on Electrooculography (EOG) Signal Classification (2010)
- Data Mining Techniques for the Life Sciences (Methods in Molecular Biology (609)) (2009)
- Data Mining Techniques for the Life Sciences; Volume 609 of Methods in Molecular Biology - Humana-Springer (2010)
- Data Mining Techniques for the Life Sciences (Methods in Molecular Biology, 2449) (2022)
- Data Mining Techniques for the Life Sciences Volume 609 || (2010)
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