Repository of University of Nova Gorica

Show document
A+ | A- | Help | SLO | ENG

Title:Outlier based literature exploration for cross-domain linking of Alzheimer's disease and gut microbiota
Authors:ID Gubiani, Donatella (Author)
ID Fabbretti, Elsa (Author)
ID Cestnik, Bojan (Author)
ID Lavrač, Nada (Author)
ID Urbančič, Tanja (Author)
Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Language:English
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:In knowledge discovery, experts frequently need to combine knowledge from different domains to get new insights and derive new conclusions. Intelligent systems should support the experts in the search for relationships between concepts from different domains, where huge amounts of possible combinations require the systems to be efficient but also sufficiently general, open and interactive to enable the experts to creatively guide the discovery process. The paper proposes a cross-domain literature mining methodology that achieves this functionality by combining the functionality of two complementary text mining tools: clustering and topic ontology creation tool OntoGen and cross-domain bridging terms exploration tool CrossBee. Focusing on outlier documents identified by OntoGen contributes to the efficiency, while CrossBee allows for flexible and user-friendly bridging concepts exploration and identification. The proposed approach, which is domain independent and can support cross-domain knowledge discovery in any field of science, is illustrated on a biomedical case study dealing with Alzheimer’s dis- ease, one of the most threatening age-related diseases, deteriorating lives of numerous individuals and challenging the ageing society as a whole. By applying the proposed methodology to Alzheimer’s disease and gut microbiota PubMed articles, we have identified Nitric oxide synthase (NOS) as a potentially valuable link between these two domains. The results support the hypothesis of neuroinflammatory nature of Alzheimer’s disease, and is indicative for the quest for identifying strategies to control nitric oxide- associated pathways in the periphery and in the brain. By addressing common mediators of inflammation using literature-based discovery, we have succeeded to uncover previously unidentified molecular links between Alzheimer’s disease and gut microbiota with a multi-target therapeutic potential.
Keywords:Literature-based discovery, Outlier detection, Alzheimer's disease, Gut microbiome
Publication version:Version of Record
Year of publishing:2017
Number of pages:386-396
Numbering:85
PID:20.500.12556/RUNG-3099-13076bdf-10eb-bf02-fa67-eec39f193974 New window
COBISS.SI-ID:4787451 New window
DOI:10.1016/j.eswa.2017.05.026 New window
NUK URN:URN:SI:UNG:REP:2PP7S7IL
Publication date in RUNG:26.05.2017
Views:6401
Downloads:0
Metadata:XML DC-XML DC-RDF
:
GUBIANI, Donatella, FABBRETTI, Elsa, CESTNIK, Bojan, LAVRAČ, Nada and URBANČIČ, Tanja, 2017, Outlier based literature exploration for cross-domain linking of Alzheimer’s disease and gut microbiota. Expert Systems with Applications [online]. 2017. Vol. 85, p. 386–396. [Accessed 23 April 2025]. DOI 10.1016/j.eswa.2017.05.026. Retrieved from: https://repozitorij.ung.si/IzpisGradiva.php?lang=eng&id=3099
Copy citation
  
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Similar works from other repositories:

No similar works found

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Expert Systems with Applications
Shortened title:ESwA
Publisher:Elsevier
Year of publishing:2017
ISSN:0957-4174

Back