We developed a new methodology SegMine for semantic analysis of microarray data by exploiting general biological knowledge, and a new workflow environment Orange4WS which supports web service integration. The SegMine methodology consists of two main steps. First, a semantic subgroup discovery algorithm is used to construct semantically annotated rules that identify enriched gene sets. Then, link discovery service BioMine is used for the creation and visualization of new biological hypotheses. The utility of SegMine, implemented as a set of workflows in Orange4WS, is demonstrated in two microarray data analysis applications. In the analysis of senescence in human stem cells, the use of SegMine resulted in three novel research hypotheses that can improve the understanding of underlying mechanisms of senescence and the identification of candidate marker genes.
F.15 Development of a new information system/databases
COBISS.SI-ID: 25208871In 2011 we have organised several scientific events: - »13th Conference on Artificial Intelligence in Medicine - AIME'11«, Bled, Slovenia, 2.–6. 7. 2011 - Podkonferenci: »Inteligentni sistemi« in »Data mining and data warehouses-SiKDD 2011« at the Information Society conference 2011, Ljubljana, Slovenia, 10.–14. 10. 2011 - »Workshop on Planning to Learn and Service-Oriented Knowledge Discovery« at the ECML PKDD 2011, Athens, Greece, 9.9.2011 - »Videolectures.net Challenge« at the ECML PKDD 2011, Athens, Greece, 5.9.2011 - »7th International Ljubljana-Zagreb Workshop on Knowledge Technologies 2011«, Poreč, Croatia, 19.-21.10.2011
B.01 Organiser of a scientific meeting
COBISS.SI-ID: 24872999Politically connected members of supervisory boards are most likely influenced by their political parties potentially also neglecting benefits of the company as a legal entity. The presented research results show high presence of politically connected members of supervisory boards in the entire observed period in Slovenia, especially in companies with prevailing state ownership (changing the board members when a governing party loses the election).
F.30 Professional assessment of the situation
COBISS.SI-ID: 20431078