IBB PAS Repository

e-LiSe--an online tool for finding needles in the '(Medline) haystack'.

Gladki, Arek and Siedlecki, Paweł and Kaczanowski, Szymon and Zielenkiewicz, Piotr (2008) e-LiSe--an online tool for finding needles in the '(Medline) haystack'. Bioinformatics (Oxford, England), 24 (8). pp. 1115-7. ISSN 1367-4811

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Official URL: http://bioinformatics.oxfordjournals.org/content/2...

Abstract

UNLABELLED Using literature databases one can find not only known and true relations between processes but also less studied, non-obvious associations. The main problem with discovering such type of relevant biological information is 'selection'. The ability to distinguish between a true correlation (e.g. between different types of biological processes) and random chance that this correlation is statistically significant is crucial for any bio-medical research, literature mining being no exception. This problem is especially visible when searching for information which has not been studied and described in many publications. Therefore, a novel bio-linguistic statistical method is required, capable of 'selecting' true correlations, even when they are low-frequency associations. In this article, we present such statistical approach based on Z-score and implemented in a web-based application 'e-LiSe'. AVAILABILITY The software is available at http://miron.ibb.waw.pl/elise/

Item Type:Article
Subjects:Q Science > Q Science (General)
Q Science > QH Natural history > QH301 Biology
Divisions:Department of Bioinformatics
ID Code:1130
Deposited By: MSc Arek Gładki
Deposited On:15 Apr 2016 12:59
Last Modified:21 Oct 2016 09:20

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