Vrbková Jana Ph.D.

Journals

BALIK, V., P. KOUŘILOVÁ, I. SULLA, J. VRBKOVÁ, J. SROVNAL, I. SULLA, S. TALARI
Comparison of bypass and non-bypass surgical treatments for internal carotid artery blood blister-like aneurysms: a meta-analysis of efficacy, safety and outcomes. World Neurosurgery. 2020, 144, 283-292, ISSN: 1878-8750, PMID: 32829023,
GACHECHILADZE, M., J. ŠKARDA, D. SKANDEROVÁ, I. ÜBERALL, V. KOLEK, P. SMICKOVA, P. VOJTA, J. VRBKOVÁ, M. HAJDÚCH, I. SHANI, Z. KOLÁŘ, R. STAHEL, W. WEDER, U. RULLE, A. SOLTERMANN, M. JOERGER
Prognostic value of tumor-infiltrating lymphocytes (TILs) and their association with PD-L1 expression and DNA repair protein RAD51 in patients with resected non-small cell lung carcinoma. Lung Cancer. 2020, 147, 30-38, ISSN: 0169-5002, PMID: 32653671,
HUŠKOVÁ, Z., J. KNILLOVÁ, Z. KOLÁŘ, J. VRBKOVÁ, M. KRAL, J. BOUCHAL
The Percentage of Free PSA and Urinary Markers Distinguish Prostate Cancer From Benign Hyperplasia and Contribute to a More Accurate Indication for Prostate Biopsy. Biomedicines. 2020, 8(6), E173, ISSN: 2227-9059, PMID: 32630458,  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