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Data
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Arrowsmith data mining techniques in neuroinformatics
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Arrowsmith is a computer-assisted strategy designed to facilitate the identification of information that is present implicitly within or across databases.
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Conventional search engines (e.g., PubMed) can identify many facets of information contained in the biomedical literature and give an indication of the current state of knowledge on a given topic. However, such queries are insufficient for investigators operating at the frontiers of scientific discovery, who need to assess the possible significance of new findings or hypothesized relationships that have not yet been experimentally tested. "Arrowsmith" is a computer-assisted strategy designed to address this problem by facilitating the identification of information that is present implicitly within or across databases. It does this by identifying title words and phrases that are shared across a pair of disjoint literatures, filtering out words that are likely to be non-informative, and juxtaposing titles of papers in each literature that share a given title word, allowing the user to assess whether the two sets of papers are suggestive of a biologically meaningful inference when considered together. Because of the generality of the Arrowsmith approach, it may be applied to a wide range of biomedical problems and, indeed, to conduct searches within or across any databases that contain textual material.
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