Head of the research group
Group members
Departent of Mathematics
Research areas:
- Statistics
- Probability
- Computer Science
Research description:
Main focus of the research group in theoretical and applied statistics is in mathematical and computational models of statistical inference. Development of statistical methodology is mostly conducted for measurement-error models in Omics research, effects of normalization and batch correction methods to statistical inference and statistical learning and modelling of two- and three-dimensional random sets. The motivation behind the development of theoretical models and also the main field of group’s applications is in Omics research (genomics, epigenomics, glycomics), biomedicine and in statistical and computational processing of figures representing two-dimensional random sets. Special consideration is given to development of tools for computational statistics (and statistical software) and to collaboration with computer scientists on the design and implementation of such tools.
Contacts with academic and other institutions:
– King’s College London
– Genos d.o.o.
– PMF Zagreb
– Leiden University Medical Center
– Leeds University
– University of Bologna
– Czech Technical University in Prague
Description of the current cooperation:
Collaboration on multiple European research projects, visiting scholarships/professorships and scientific research articles.
Plans for future research:
Development of statistical and computational models in statistics with application to computer science and biomedicine.
List of selected research papers:
1. Barrios, Clara; Zierer, Jonas; Gudelj, Ivan; Štambuk, Jerko; Ugrina, Ivo; Rodríguez, Eva; Soler, María José; Pavić, Tamara; Simurina, Mirna; Keser, Toma; Pučić-Baković, Maja; Mangino, Massimo; Pascual, Julio; Spector, Tim D.; Lauc, Gordan; Menni, Cristina.
Glycosylation Profile of IgG in Moderate Kidney Dysfunction. // Journal of the American Society of Nephrology. 27 (2016) , 3; 933-941.
2. Gotovac, Vesna; Helisová, Kateřina; Ugrina, Ivo.
Assessing dissimilarity of random sets through convex compact approximations, support functions and envelope tests. // Image analysis & stereology. 35 (2016) , 3; 181-193.
3. Perković, Sanja; Ugrina, Ivo; Labar, Boris; Nemet, Damir; Batinić, Josip; Zadro, Renata; Ries, Sunčica; Gjadrov-Kuvedžić, Koraljka; Davidović, Sanja; Batinić, Drago.
Prognostic significance of constitutive phosphatidylinositol 3-kinase/Akt and mitogen-activated protein kinase phosphorylation in acute myeloid leukemia. // Leukemia & lymphoma. 56 (2015) , 8; 2281-2288.
4. Špoljarić, Drago; Ugrina, Ivo.
On Statistical Properties of Palindromes in DNA. // COMMUNICATIONS IN STATISTICS-THEORY AND METHODS. 42 (2013) , 7; 1373-1385.
5. Dimjašević, Marko; Atzeni, Simone; Ugrina, Ivo; Rakamarić, Zvonimir.
Evaluation of Android Malware Detection Based on System Calls // Proceedings of the 2016 ACM on International Workshop on Security And Privacy Analytics.
New York, NY, USA : ACM, 2016. 1-8.