Zelmina Lubovac

Deputy Head of Department/Senior Lecturer

School of Bioscience

Contact info

• Email
• zelmina.lubovac@his.se

• Work
• 0500-448305

• Room
• G2248

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

• 2019
  Batch-normalization of cerebellar and medulloblastoma gene expression datasets utilizing empirically defined negative control genes
  Weishaupt 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.
• 2016
  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).
• 2013
  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).
• 2012
  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.
• 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.
• 2011
  A miRNA expression signature that separates between normal and malignant prostate tissues
  Carlsson Jessica, Davidsson Sabina, Helenius Gisela et al.
  Cancer Cell International, 2011, 11, 14.
• 2010
  Validation of suitable endogenous control genes for expression studies of miRNA in prostate cancer tissues
  Carlsson Jessica, Helenius Gisela, Karlsson Mats et al.
  Cancer Genetics and Cytogenetics, 2010, 202(2), 71-75.
• 2009
  Investigating Topological and Functional Features of Multimodular Proteins
  Lubovac Zelmina
  Journal of Biomedicine and Biotechnology, 2009, Article Number: 472415.
• Network Properties for Ranking Predicted miRNA Targets in Breast Cancer
  Linde Jörg, Olsson Björn, Lubovac Zelmina
  Advances in Bioinformatics, 2009, Article ID 182689.

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