Indirect association and ranking hypotheses for literature based discovery
Abstract Background Literature Based Discovery (LBD) produces more potential hypotheses than can be manually reviewed, making automatically ranking these hypotheses critical. In this paper, we introduce the indirect association measures of Linking Term Association (LTA), Minimum Weight Association (...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-08-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2989-9 |