Like a data-guzzling faster engine, complex info mining has been powering post-genome organic reviews for 2 many years. Reflecting this progress, Biological facts Mining provides accomplished information mining suggestions, theories, and purposes in present organic and clinical study. every one bankruptcy is written by way of a unusual group of interdisciplinary info mining researchers who hide state of the art organic topics.
The first portion of the publication discusses demanding situations and possibilities in interpreting and mining organic sequences and constructions to realize perception into molecular services. the second one part addresses rising computational demanding situations in studying high-throughput Omics facts. The publication then describes the relationships among info mining and similar parts of computing, together with wisdom illustration, details retrieval, and information integration for established and unstructured organic facts. The final half explores rising facts mining possibilities for biomedical applications.
This quantity examines the suggestions, difficulties, development, and developments in constructing and utilising new information mining recommendations to the quickly starting to be box of genome biology. via learning the innovations and case stories offered, readers will achieve major perception and enhance useful options for comparable organic info mining initiatives within the future.
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Additional info for Biological Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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