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Vrbková Jana Ph.D.

Journals

ŘEHULKOVÁ, A., J. CHUDÁČEK, A. PROKOPOVÁ, M. VIDLAŘOVÁ, J. STRÁNSKÁ, J. DRÁBEK, J. POTOČKOVÁ, R. TROJANEC, J. VRBKOVÁ, J. ŠKARDA, T. BOHANES, M. SZKORUPA, B. TOLMACI, J. KLEIN, J. SROVNAL, M. HAJDÚCH
Clinical and prognostic significance of detecting CEA, EGFR, LunX, c-met and EpCAM mRNA-positive cells in the peripheral blood, tumor-draining blood and bone marrow of non-small cell lung cancer patients. Translational Lung Cancer Research. 2023, 12(5), 1034-1050, ISSN: 2226-4477 , PMID: 37323172,
KALITA, O., T. KAZDA, S. REGULI, R. JANCALEK, P. FADRUS, M. SLACHTA, P. POSPISIL, L. KRSKA, J. VRBKOVÁ, L. HRABALEK, M. SMRCKA, R. LIPINA
Effects of Reoperation Timing on Survival among Recurrent Glioblastoma Patients: A Retrospective Multicentric Descriptive Study. Cancers. 2023, 15(9), 2530, ISSN: 2072-6694, PMID: 37173996,
Evaluation of Non-Invasive Gargle Lavage Sampling for the Detection of SARS-CoV-2 Using rRT-PCR or Antigen Assay. Viruses. 2022, 14(12), 2829, ISSN: 1999-4915, PMID: 36560833,  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