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Mining the Biomedical Literature (Computational Molecular Biology)

Hagit Shatkay, Mark Craven




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 | #903920 in Books |  2012-08-10 | Original language:English | PDF # 1 |  9.00 x.38 x6.88l,.95 | File type: PDF | 150 pages

||0 of 0 people found the following review helpful.| I am very happy I picked this brand|By Customer|Thanks again for coming up with another great product! truely outstanding This is a very good product, taking into account the price, I will buy a new one when I need it next time. does a great job,and maybe a lot more It's very easy to work with. quality construction, sturdier than i was expecting| ||"The explosive growth of the biomedical literature and the breakdown of disciplinary boundaries in biomedical research make text mining an indispensable part of modern molecular biomedicine. Mining the Biomedical Literature clearly introduces the key

The introduction of high-throughput methods has transformed biology into a data-rich science. Knowledge about biological entities and processes has traditionally been acquired by thousands of scientists through decades of experimentation and analysis. The current abundance of biomedical data is accompanied by the creation and quick dissemination of new information. Much of this information and knowledge, however, is represented only in text form--in the biomedical lit...

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