Vrbková Jana Ph.D.

Journals

VOLEJNÍKOVÁ, J., M. JAROSOVA, D. POSPÍŠILOVÁ, Z. NOVÁK, J. VRBKOVÁ, M. HAJDÚCH, V. MIHÁL
Treatment and prognosis of childhood acute lymphoblastic leukemia on protocols ALL-BFM 90, 95 and ALL IC-BFM 2002: a retrospective single-center study from Olomouc, Czech Republic. Neoplasma. 2016, 63(3), 456-61, ISSN: 0028-2685, PMID: 26925793,
KOUDELÁKOVÁ, V., R. TROJANEC, J. VRBKOVÁ, S. DONEVSKA, K. BOUCHALOVÁ, M. KOLÁŘ, L. VARANASI, M. HAJDÚCH
Frequency of chromosome 17 polysomy in relation to CEP17 copy number in a large breast cancer cohort. Genes Chromosomes & Cancer. 2016, 55(5), 409-17, ISSN: 1045-2257, PMID: 26847577,
GHOTHIM, M., J. SROVNAL, L. BÉBAROVÁ, J. TESAŘÍKOVÁ, P. SKALICKÝ, D. KLOS, A. PROKOPOVÁ, M. VIDLAŘOVÁ, H. SLAVÍK, J. VRBKOVÁ, C. NEORAL, R. HAVLÍK, M. HAJDÚCH, M. LOVEČEK
Determination of CEA, EGFR and hTERT expression in peritoneal lavage in patients with pancreatic adenocarcinoma using RT - PCR method. Rozhledy v chirurgii. 2015, 94(11), 464-9, ISSN: 0035-9351. PMID: 26766154,

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