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Rediscovering Don Swanson:The Past, Present and Future of Literature-based Discovery Cover

Rediscovering Don Swanson:The Past, Present and Future of Literature-based Discovery

Journal of Data and Information Science
Volume 2 (2017): Issue 4 (December 2017)
By:
Open Access
|Dec 2017

Figures & Tables

Figure 1

Don R. Swanson.
Don R. Swanson.

Figure 2

Screenshot of UCSC Genome Browser showing the sequence for human mir-95 juxtaposed to tracks for genomic repeats. The genomic region of the mir-95 sequence corresponds to two LINE2 elements in opposite orientations. This provides evidence that, when transcribed into RNA, these LINE2 elements bind each other, creating the hairpin secondary structure that permits the processing of this sequence by enzymes (Drosha & Dicer) to form a microRNA (Smalheiser & Torvik, 2005).
Screenshot of UCSC Genome Browser showing the sequence for human mir-95 juxtaposed to tracks for genomic repeats. The genomic region of the mir-95 sequence corresponds to two LINE2 elements in opposite orientations. This provides evidence that, when transcribed into RNA, these LINE2 elements bind each other, creating the hairpin secondary structure that permits the processing of this sequence by enzymes (Drosha & Dicer) to form a microRNA (Smalheiser & Torvik, 2005).

Figure 3

Schematic diagram illustrating the one-node search. Reprinted from Swanson & Smalheiser (1997) with permission.
Schematic diagram illustrating the one-node search. Reprinted from Swanson & Smalheiser (1997) with permission.

Eight features used to characterize each B-term_

No.Feature
1Does the B-term occur in more than one paper within literatures A and C?
2Do the AB and BC sub-literatures share any MeSH terms?
3Does the B-term map to at least one UMLS semantic category?
4Does the B-term have a high literature cohesion score?
5Is the B-term moderately frequent within MEDLINE as a whole?
6Did the B-term first appear recently within MEDLINE as a whole?
7Is the B-term highly characteristic within literature A or C?
8Do the words within the B-term all occur on the customized 1,400-word stoplist?
DOI: https://doi.org/10.1515/jdis-2017-0019 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 43 - 64
Submitted on: Aug 9, 2017
Accepted on: Sep 13, 2017
Published on: Dec 29, 2017
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Literature-based discovery,
Biography,
Text mining,
Knowledge discovery in databases,
Implicit information,
Information science
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2017 Neil R. Smalheiser, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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