Zelmina Lubovac
Bioscience
University of Skovde
Sweden
Biography
Ph.D., M.Sc., B.Sc. Ph.D., School for Humanities and Informatics, Sweden, and Heriot-Watt University, School of Mathematical and Computer Science, Edinburgh, Scotland, 2008 Member of the BioInformatics Group (BIG)
Research Interest
Various methods of network clustering have been applied to reveal modular organisation in protein interaction networks (PINs). However, those clustering methods are mostly based on topological properties of the network. Therefore, we are focusing on developing methods for deriving functional modules from PINs using both structural information and domain knowledge from Gene Ontology. The modules obtained by these integrated methods are characterised by high functional cohesiveness among their members. Besides deriving modular structure, we also use the proposed methods to shed light on how the functional strength of interactions affects our view of global structural organization.
Publications
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Integrative Approach for Detection of Functional Modules from Protein-Protein Interaction Networks Lubovac-Pilav Zelmina Protein-Protein Interactions: Computational and Experimental Tools (97-112). INTECH, 2012.
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Using expression profiling to understand the effects of chronic cadmium exposure on mcf-7 breast cancer cells Lubovac-Pilav Zelmina, Borràs Daniel M., Ponce Esmeralda et al. PLoS ONE, 2013, 8(12).
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Gene Co-Expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Type 1 Diabetes Riquelme Medina Ignacio, Lubovac-Pilav Zelmina PLoS ONE, 2016, 11(6).
