Kimmo Kulovesi
University of Helsinki
6 Papers
134 Citations
Kimmo Kulovesi is an academic researcher from University of Helsinki. The author has contributed to research in topics: Knowledge extraction & Ontology (information science). The author has an hindex of 5, co-authored 6 publications.
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Papers
Link Discovery in Graphs Derived from Biological Databases (Research Paper)
Petteri Sevon,Lauri Eronen,Petteri Hintsanen,Kimmo Kulovesi,Hannu Toivonen +4 more
- 01 Jan 2006
TL;DR: This work proposes a method for link discovery in biological databases, i.e., for prediction and evaluation of implicit or previously unknown connections between biological entities and concepts, and proposes measures for link goodness that are based on edge reliability, relevance, and rarity.
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SegMine workflows for semantic microarray data analysis in Orange4WS.
Vid Podpečan,Nada Lavrač,Nada Lavrač,Igor Mozetič,Petra Kralj Novak,Igor Trajkovski,Laura Langohr,Kimmo Kulovesi,Hannu Toivonen,Marko Petek,Helena Motaln,Kristina Gruden +11 more
TL;DR: The use of SegMine for semantic analysis of microarray data by exploiting general biological knowledge resulted in three novel research hypotheses that could improve understanding of the underlying mechanisms of senescence and identification of candidate marker genes.
Patent
Arrangement and method for finding relationships among data
Lauri Eronen,Atte Hinkka,Petteri Hintsanen,Melissa Kasari,Kimmo Kulovesi,Laura Langohr,Petteri Sevon,Hannu Toivonen +7 more
- 31 May 2010
TL;DR: In this paper, the proposed solution comprises: receiving data records from a number of data sources such as databases relating to a predetermined application domain such as biological or biomedical domain, indexing data records contained in a plurality of data source, further comprising associations between said records based on indications in the data sources, and determining a subgraph from the graph best associating the query nodes with one or more other nodes according to predetermined criteria utilizing the weights and a predetermined subgraph extraction technique.
25
Bisociative knowledge discovery for microarray data analysis
Igor Mozetič,Nada Lavrač,Vid Podpečan,Petra Kralj Novak,Helena Motaln,Marko Petek,Kristina Gruden,Hannu Toivonen,Kimmo Kulovesi +8 more
- 01 Jan 2010
TL;DR: It is shown how enriched gene sets are found by using ontology information as background knowledge in semantic subgroup discovery by contextualized by the computation of probabilistic links to diverse bioinformatics resources.
Semantic subgroup discovery and cross-context linking for microarray data analysis
Igor Mozetič,Nada Lavrač,Vid Podpečan,Petra Kralj Novak,Helena Motaln,Marko Petek,Kristina Gruden,Hannu Toivonen,Kimmo Kulovesi +8 more
- 01 Jan 2012
TL;DR: It is shown how enriched gene sets are found by using ontology information as background knowledge in semantic subgroup discovery by contextualized by the computation of probabilistic links to diverse bioinformatics resources.