معرفی
Zelmina Lubovac-Pilav is a Senior Lecturer in Bioinformatics at the School of Bioscience, University of Skövde. She coordinates advanced and foundational courses in bioscience and serves as Programme Coordinator for Master's-level programs. Her research focuses on bioinformatics, systems biology, and disease module analysis, particularly in pancreatic cancer, multiple sclerosis, and breast cancer.
Her work involves multi-omics data integration (genomics, proteomics, transcriptomics) and biomarker discovery, supported by projects like BIO-AID (AI-driven biomedical analytics) and DMDPipe (disease-causing protein modules in asthma). She develops computational tools such as MODalyseR and TFTenricher for disease module inference and transcription factor analysis.
The 15 most recent articles highlight trends in latent space modeling, network biology, and clinical data analysis, with applications in pancreatic cancer early detection, multiple sclerosis biomarkers, and miRNA functional analysis. These studies emphasize algorithm development, data normalization, and community-driven network predictions.
Contact: zelmina.lubovac@his.se
