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Vrbková Jana Ph.D.

Journals

SZOTKOWSKI, T., E. FABER, J. HUBACEK, L. RAIDA, P. ROHON, A. KUBA, Z. PIKALOVA, M. HOLZEROVA, M. DIVOKÁ, M. JAROSOVA, J. VRBKOVÁ, T. PAPAJIK, K. INDRAK
Acute promyelocytic leukemia successfully treated also in elderly patients with significant comorbidities: a 20-year single-center experience. Neoplasma. 2015, 62(1), 146-151, ISSN: 0028-2685, PMID: 25563379,
BOUCHALOVÁ, K., G. KHARAISHVILI, J. BOUCHAL, J. VRBKOVÁ, M. HOUDOVÁ MEGOVÁ, A. HLOBILKOVA
Triple negative breast cancer-BCL2 in prognosis and prediction. Review. Current Drug Targets. 2014, 15(12), 1166-1175, ISSN: 1389-4501, PMID: 25374001,
NAUŠ, P., O. CALETKOVÁ, P. KONEČNÝ, P. DŽUBÁK, K. BOGDANOVÁ, M. KOLÁŘ, J. VRBKOVÁ, L. SLAVĚTÍNSKÁ, E. TLOUŠŤOVÁ, P. PERLÍKOVÁ, M. HAJDÚCH, M. HOCEK
Synthesis, cytostatic, antimicrobial, and anti-HCV activity of 6-substituted 7-(het)aryl-7-deazapurine ribonucleosides. Journal of Medicinal Chemistry. 2014, 57(3), 1097-1110, ISSN: 0022-2623, PMID: 24397620,

Open positions

Project: Methods of semicontinuous data analysis (not only) in proteomics
Supervisors: Vrbková Jana Ph.D.
Available: 1
Intended for: Doctoral training
Summary: Data with clumping at a single value commonly occur in biometrics. Typically, the outcome variable measures an amount that must be non-negative and may in some cases be zero. Semicontinuous data can be viewed as arising from two distinct stochastic processes: one governing the occurrence of zeros and the second determining the observed value condition being a non‐zero response. The aim of the thesis is to describe and compare methods of analyzing semicontinuous data with regards to the application on statistical problems solved at IMTM, e.g. proteomics analyses.
Project: Bioinformatics processing of big data in clinical and preclinical studies
Supervisors: Hajdúch Marián M.D., Ph.D., Pavliš Petr Ph.D., Vrbková Jana Ph.D.
Available: 3
Intended for: Doctoral training