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Vrbková Jana Ph.D.

Journals

BALIK, V., P. KOUŘILOVÁ, I. SULLA, J. VRBKOVÁ, J. SROVNAL, M. HAJDÚCH, K. TAKIZAWA
Recurrence of surgically treated parasagittal meningiomas: a meta-analysis of risk factors. Acta Neurochirurgica. 2020, 162(9), 2165-2176, ISSN: 0001-6268, PMID: 32333274,
SLAVÍK, H., V. BALIK, J. VRBKOVÁ, A. ŘEHULKOVÁ, M. VAVERKA, L. HRABALEK, M. VIDLAŘOVÁ, S. GURSKÁ, M. HAJDÚCH, J. SROVNAL
Identification of Meningioma Patients at High Risk of Tumor Recurrence Using MicroRNA Profiling. Neurosurgery. 2020, 87(5), 1055-1063, ISSN: 0148-396X, PMID: 32125436,
JAWOREK, H., V. KOUDELÁKOVÁ, J. DRÁBEK, J. VRBKOVÁ, B. ZBORILOVA, I. OBORNA, J. BREZINOVA, R. MAREK, K. HUML, P. VANEK, M. HAJDÚCH
A Head-to-Head Analytical Comparison of Cobas 4800 HPV, PapilloCheck HPV: Screening, and LMNX Genotyping Kit HPV GP for Detection of Human Papillomavirus DNA in Cervical and Cervicovaginal Swabs. The Journal of Molecular Diagnostics. 2018, 20(6), 849-858, ISSN: 1525-1578, PMID: 30165205,  PDF.

Open positions

Projekt: Methods of semicontinuous data analysis (not only) in proteomics
Vedoucí: Vrbková Jana Ph.D.
K dispozici: 1
Určeno pro: Doktorské studium
Souhrn: 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.
Projekt: Bioinformatics processing of big data in clinical and preclinical studies
Vedoucí: Hajdúch Marián M.D., Ph.D., Pavliš Petr Ph.D., Vrbková Jana Ph.D.
K dispozici: 3
Určeno pro: Doktorské studium