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Vrbková Jana Ph.D.

Journals

SLAVÍK, H., V. BALIK, F. KOKAS, R. SLAVKOVSKÝ, J. VRBKOVÁ, A. ŘEHULKOVÁ, T. LAUSOVÁ, J. EHRMANN, S. GURSKÁ, I. ÜBERALL, M. HAJDÚCH, J. SROVNAL
Transcriptomic Profiling Revealed Lnc-GOLGA6A-1 as a Novel Prognostic Biomarker of Meningioma Recurrence. Neurosurgery. 2022, 91(2), 360-369, ISSN: 0148-396X, PMID: 35551164,
2‑Cl‑IB‑MECA regulates the proliferative and drug resistance pathways, and facilitates chemosensitivity in pancreatic and liver cancer cell lines. International Journal of Molecular Medicine. 2022, 49(3), 31, ISSN: 1107-3756, PMID: 35039871,
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,

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