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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10027/39
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| Title: | Knowledge Discovery in Medline and Other Databases. |
| Authors: | Smalheiser, Neil R |
| Issue Date: | 2003 |
| Publisher: | Washington, DC: Society for Neuroscience |
| Citation: | Williams RW, ed. The Bioinformatics of Brains: From Genes and Proteins to Behaviors: pp. 9-16. |
| Abstract: | All neuroscientists are in the business of discovering knowledge about how the brain
works. However, only a portion of time is spent in making new discoveries in the
laboratory or clinic. An increasingly large task is to learn what has already been reported
in the literature: either to assess an hypothesis and to plan out the best way to test it, or to
keep abreast of new research trends, or simply to avoid rediscovering something already
known. The days are gone when a person could keep up in neuroscience simply by
scanning the pages of a few leading journals, or even by using alerting services such as
Current Contents. Investigators not only need to become sophisticated users of Medline,
the primary repository of published biomedical literature -- more than that, they need to
go beyond simple queries. Think of getting information in Genbank: A simple query will
retrieve the nucleotide sequence for “reelin”, but one cannot directly look up the most
probable transcription factor binding sites within its promoter region. Rather, specialized
algorithms are needed to process the raw data and make plausible inferences (and these
still need to be confirmed in the laboratory). Similarly, you can look up lots of findings
in the biomedical literature, but to find knowledge that is implicit (not explicitly stated)
and to make inferences, specialized approaches are needed. The purpose of this chapter
is to guide neuroscientists in using informatics tools for making inferences in Medline as
well as other public and private research databases. |
| URI: | http://hdl.handle.net/10027/39 |
| Appears in Collections: | Presentations - Arrowsmith
Publications - Arrowsmith
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Files in This Item:
| File |
Description |
Size | Format |
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| smalheiser_SFN_2003.pdf | Book chapter | 290Kb | Adobe PDF | View/Open | | smalheiser_SFN_2003.ppt | PowerPoint presentation | 406Kb | Microsoft Powerpoint | View/Open |
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