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From the Publisher
"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 ideas and applications to computational biologists looking to get started in this exciting field."—Lawrence Hunter, University of Colorado School of Medicin"This book provides a lucid and accessible exposition of the most important topics in biomedical text mining and related areas of information retrieval, information extraction, and machine learning. Readers will enjoy well-chosen examples of biomedical applications and textual snippets, as well as a balanced treatment of diverse computational techniques used today. The book even provides the most important competition venues for text-mining systems."—Andrey Rzhetsky, Professor of Medicine and Human Genetics, Computation Institute and Institute for Genomics and Systems Biology,University of Chicago
Overview
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 literature, lab notebooks, Web pages, and other ...