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Vrbková Jana Ph.D.

Journals

STUDENT, V., A. VIDLAR, J. BOUCHAL, J. VRBKOVÁ, Z. KOLÁŘ, M. KRAL, P. KOSINA, J. VOSTALOVA
Cranberry intervention in patients with prostate cancer prior to radical prostatectomy. Clinical, pathological and laboratory findings. Biomedical Papers of the Medical Faculty of the University Palacký, Olomouc, Czech Republic. 2016, 160(4), 559-565, ISSN: 1213-8118, PMID: 27833172,
JAROSOVA, M., J. VOLEJNÍKOVÁ, I. PORIZKOVA, M. HOLZEROVA, D. POSPÍŠILOVÁ, Z. NOVÁK, J. VRBKOVÁ, V. MIHÁL
Chromosomal aberrations in childhood acute lymphoblastic leukemia: 15-year single center experience. Cancer Genetics. 2016, 209(7-8), 340-347, ISSN: 2210-7762, PMID: 27341996,
KALITA, O., R. TROJANEC, M. HOUDOVÁ MEGOVÁ, M. HAJDÚCH, M. VAVERKA, L. HRABALEK, M. ZLEVOROVA, J. DRÁBEK, L. TUČKOVÁ, J. VRBKOVÁ
Glioblastoma multiforme in patients with history of extracranial cancer: Case series. Clinical Neurology and Neurosurgery. 2016, 144(-), 39-43, ISSN: 0303-8467, PMID: 26971293,

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