School of Bioscience
|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)
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.
Batch-normalization of cerebellar and medulloblastoma gene expression datasets utilizing empirically defined negative control genesWeishaupt Holger, Johansson Patrik, Sundström Anders et al.Bioinformatics, 2019, 35(18), 3357-3364.
miRFA: an automated pipeline for microRNA functional analysis with correlation support from TCGA and TCPA expression data in pancreatic cancer
Borgmästars Emmy, de Weerd Hendrik Arnold, Lubovac-Pilav Zelmina et al.BMC Bioinformatics, 2019, 20(1), 1-17.
Gene Co-Expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Type 1 DiabetesRiquelme Medina Ignacio, Lubovac-Pilav ZelminaPLoS ONE, 2016, 11(6).
Using expression profiling to understand the effects of chronic cadmium exposure on mcf-7 breast cancer cellsLubovac-Pilav Zelmina, Borràs Daniel M., Ponce Esmeralda et al.PLoS ONE, 2013, 8(12).
Integrative Approach for Detection of Functional Modules from Protein-Protein Interaction NetworksLubovac-Pilav ZelminaProtein-Protein Interactions: Computational and Experimental Tools (97-112). INTECH, 2012.
The mitochondrial transporter SLC25A43 is frequently deleted and may influence cell proliferation in HER2-positive breast tumors
Tina Elisabet, Malakkaran Lindqvist Breezy, Gabrielson Marike et al.BMC Cancer, 2012, 12, Article number 350.
A miRNA expression signature that separates between normal and malignant prostate tissuesCarlsson Jessica, Davidsson Sabina, Helenius Gisela et al.Cancer Cell International, 2011, 11, 14.
Validation of suitable endogenous control genes for expression studies of miRNA in prostate cancer tissuesCarlsson Jessica, Helenius Gisela, Karlsson Mats et al.Cancer Genetics and Cytogenetics, 2010, 202(2), 71-75.
Investigating Topological and Functional Features of Multimodular ProteinsLubovac ZelminaJournal of Biomedicine and Biotechnology, 2009, Article Number: 472415.
Network Properties for Ranking Predicted miRNA Targets in Breast Cancer
Linde Jörg, Olsson Björn, Lubovac ZelminaAdvances in Bioinformatics, 2009, Article ID 182689.