Knowledge discovery by automated identification and ranking of implicit relationships
Motivation: New relationships are often implicit from existing information, but the amount and growth of published literature limits the scope of analysis an individual can accomplish. Our goal was to develop and test a computational method to identify relationships within scientific reports, such t...
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Published in | Bioinformatics Vol. 20; no. 3; pp. 389 - 398 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Oxford University Press
12.02.2004
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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