By Jake Y. Chen,Stefano Lonardi
Like a data-guzzling rapid engine, complicated info mining has been powering post-genome organic reviews for 2 many years. Reflecting this progress, Biological info Mining provides complete information mining innovations, theories, and purposes in present organic and scientific examine. each one bankruptcy is written through a exceptional crew of interdisciplinary facts mining researchers who conceal cutting-edge organic topics.
The first component of the ebook discusses demanding situations and possibilities in interpreting and mining organic sequences and buildings to achieve perception into molecular features. the second one part addresses rising computational demanding situations in studying high-throughput Omics info. The ebook then describes the relationships among information mining and comparable parts of computing, together with wisdom illustration, details retrieval, and knowledge integration for established and unstructured organic information. The final half explores rising facts mining possibilities for biomedical applications.
This quantity examines the recommendations, difficulties, growth, and developments in constructing and employing new facts mining recommendations to the speedily starting to be box of genome biology. via learning the recommendations and case reports provided, readers will achieve major perception and enhance useful ideas for related organic facts mining initiatives within the future.
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Additional 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