• Semantic subgroup discovery: u...

Treffer: Semantic subgroup discovery: using ontologies in microarray data analysis.

Title:
Semantic subgroup discovery: using ontologies in microarray data analysis.
Authors:
Lavrac N; Jozef Stefan Institute, Jamova 39, Ljubljana, Slovenia. nada.lavrac@ijs.si, Novak PK, Mozetic I, Podpecan V, Motaln H, Petek M, Gruden K
Source:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2009; Vol. 2009, pp. 5613-6.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Print ISSN: 2375-7477 (Print) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE
Imprint Name(s):
Original Publication: [Piscataway, NJ] : [IEEE], [2007]-
MeSH Terms:
Artificial Intelligence* , Database Management Systems* , Databases, Factual* , Natural Language Processing* , Semantics*, Data Mining/*methods , Gene Expression Profiling/*methods , Microarray Analysis/*methods
Entry Date(s):
Date Created: 20091208 Date Completed: 20100402 Latest Revision: 20200928
Update Code:
20250114
DOI:
10.1109/IEMBS.2009.5333782
PMID:
19964398
Database:
MEDLINE

Weitere Informationen

A major challenge for next generation data mining systems is creative knowledge discovery from highly diverse and distributed data and knowledge sources. This paper presents an approach to information fusion and creative knowledge discovery from semantically annotated knowledge sources: by using ontology information as background knowledge for semantic subgroup discovery, rules are constructed that allow the expert to recognize gene groups that are differentially expressed in different types of tissues. The paper presents also current directions in creative knowledge discovery through bisociative data analysis, illustrated on a systems biology case study.