By Jake Y. Chen,Stefano Lonardi
Like a data-guzzling rapid engine, complex facts mining has been powering post-genome organic experiences for 2 many years. Reflecting this progress, Biological facts Mining provides entire information mining strategies, theories, and purposes in present organic and scientific examine. each one bankruptcy is written by way of a uncommon crew of interdisciplinary information mining researchers who conceal cutting-edge organic topics.
The first component to the ebook discusses demanding situations and possibilities in studying and mining organic sequences and buildings to achieve perception into molecular features. the second one part addresses rising computational demanding situations in examining high-throughput Omics information. The booklet then describes the relationships among facts mining and comparable parts of computing, together with wisdom illustration, info retrieval, and information integration for dependent and unstructured organic info. The final half explores rising facts mining possibilities for biomedical applications.
This quantity examines the recommendations, difficulties, growth, and traits in constructing and employing new info mining thoughts to the speedily turning out to be box of genome biology. by way of learning the techniques and case experiences offered, readers will achieve major perception and strengthen sensible strategies for related organic info mining initiatives within the future.
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Extra resources for Biological Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Biological Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Jake Y. Chen,Stefano Lonardi