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Vrbková Jana Ph.D.

Journals

SROVNAL, J., P. SKALICKÝ, A. PROKOPOVÁ, J. VRBKOVÁ, M. VIDLAŘOVÁ, M. DUDA, K. VYSLOUŽIL, M. HAJDÚCH
Long-term prognostic value of cytokeratin 20 mRNA-positive cells in blood and bone marrow of patients with localized colorectal cancer. Surgical Oncology. 2026, 65, 102367, ISSN: 0960-7404, PMID: 41719830,  PDF.
STUDENT, V., V. REPA, J. VRBKOVÁ, J. VACEK
Cannabidiol-hyaluronic acid combination delivered rectally for attenuating abacterial prostatitis symptoms: Single-arm open-label pilot clinical trial. Biomedical papers - Olomouc. 2026, 170(1), 47-52, ISSN: 1213-8118, PMID: 41709732,  PDF.
Pooling of samples to optimise SARS-CoV-2 detection in nasopharyngeal swabs and gargle lavage self-samples for covid-19 diagnostics and surveillance. Infectious Diseases. 2024, 56(7), 1-12, ISSN: 2374-4243, PMID: 38549542,  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