Skip to main content

Vrbková Jana Ph.D.

Journals

JAWOREK, H., V. KOUDELÁKOVÁ, I. OBORNA, B. ZBORILOVA, J. BREZINOVA, D. RUZICKOVA, J. VRBKOVÁ, P. KOUŘILOVÁ, M. HAJDÚCH
Impact of human papillomavirus infection on semen parameters and reproductive outcomes. Reproductive biology and endocrinology. 2021, 19(1), 156, ISSN: 1477-7827, PMID: 34627284,
JAWOREK, H., V. KOUDELÁKOVÁ, I. OBORNA, B. ZBORILOVA, J. BREZINOVA, D. RUZICKOVA, J. VRBKOVÁ, P. KOUŘILOVÁ, M. HAJDÚCH
Prevalence and genotype distribution of human papillomavirus in Czech non-vaccinated heterosexual couples. Virology Journal. 2021, 18(1), 80, ISSN: 1743-422X, PMID: 33858457,
KALITA, O., Z. ŠPORIKOVÁ, M. HAJDÚCH, M. HOUDOVÁ MEGOVÁ, R. SLAVKOVSKÝ, L. HRABALEK, M. HALAJ, Y. KLEMENTOVÁ, M. DOLEZAL, J. DRÁBEK, L. TUCKOVA, J. EHRMANN, J. VRBKOVÁ, R. TROJANEC, M. VAVERKA
The Influence of Gene Aberrations on Survival in Resected IDH Wildtype Glioblastoma Patients: A Single-Institution Study. Current Oncology. 2021, 28(2), 1280-1293, ISSN: 1198-0052, PMID: 33801093,  PDF.

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