@inproceedings{86fc28e2d891445eb52c0468e2fc04ad,
title = "Semantic subgroup discovery: Using ontologies in microarray data analysis",
abstract = "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.",
author = "Nada Lavra{\v c} and Novak, {Petra Kralj} and Igor Mozeti{\v c} and Vid Podpe{\v c}an and Helena Motaln and Marko Petek and Kristina Gruden",
year = "2009",
doi = "10.1109/IEMBS.2009.5333782",
language = "English",
isbn = "9781424432967",
series = "Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009",
publisher = "IEEE Computer Society",
pages = "5613--5616",
booktitle = "Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
note = "31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 ; Conference date: 02-09-2009 Through 06-09-2009",
}