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II Spyroglou
II Spyroglou
MSD - Czech Republic
Verified email at merck.com
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Year
The sun as a significant agent provoking earthquakes
G Anagnostopoulos, I Spyroglou, A Rigas, P Preka-Papadema, ...
The European Physical Journal Special Topics 230, 287-333, 2021
292021
Investigating combined drought-and heat stress effects in wheat under controlled conditions by dynamic image-based phenotyping
LOA Abdelhakim, E Rosenqvist, B Wollenweber, I Spyroglou, CO Ottosen, ...
Agronomy 11 (2), 364, 2021
282021
WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis
M Lyčka, V Peska, M Demko, I Spyroglou, A Kilar, J Fajkus, M Fojtová
BMC bioinformatics 22, 1-14, 2021
272021
Long-term high-temperature stress impacts on embryo and seed development in Brassica napus
K Mácová, U Prabhullachandran, M Štefková, I Spyroglou, A Pěnčík, ...
Frontiers in Plant Science 13, 844292, 2022
212022
A bayesian logistic regression approach in asthma persistence prediction
II Spyroglou, G Spöck, EA Chatzimichail, AG Rigas, EN Paraskakis
Epidemiology, Biostatistics, and Public Health 15 (1), 2018
202018
Integration of phenomics and metabolomics datasets reveals different mode of action of biostimulants based on protein hydrolysates in Lactuca sativa L. and Solanum lycopersicum …
M Sorrentino, K Panzarová, I Spyroglou, L Spíchal, V Buffagni, P Ganugi, ...
Frontiers in Plant Science 12, 808711, 2022
192022
Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
II Spyroglou, G Spöck, AG Rigas, EN Paraskakis
BMC research notes 11, 1-6, 2018
192018
Effect of drought on wheat production in Poland between 1961 and 2019
T Oleksiak, I Spyroglou, D Pacoń, P Matysik, M Pernisová, K Rybka
Crop Science 62 (2), 728-743, 2022
182022
Expansin-controlled cell wall stiffness regulates root growth in Arabidopsis
M Samalova, K Elsayad, A Melnikava, A Peaucelle, E Gahurova, ...
BioRxiv, 2020.06. 25.170969, 2020
142020
Quantitative estimation of water status in field‐grown wheat using beta mixed regression modelling based on fast chlorophyll fluorescence transients: A method for drought …
I Spyroglou, K Rybka, R Maldonado Rodriguez, P Stefański, ...
Journal of Agronomy and Crop Science 207 (4), 589-605, 2021
122021
Hormone-regulated expansins: Expression, localization, and cell wall biomechanics in Arabidopsis root growth
M Samalova, A Melnikava, K Elsayad, A Peaucelle, E Gahurova, ...
Plant Physiology 194 (1), 209-228, 2024
112024
Mixed models as a tool for comparing groups of time series in plant sciences
I Spyroglou, J Skalák, V Balakhonova, Z Benedikty, AG Rigas, J Hejátko
Plants 10 (2), 362, 2021
92021
Effects of long-term high-temperature stress on reproductive growth and seed development in development in Brassica napus
K Mácová, U Prabhullachandran, I Spyroglou, M Štefková, A Pěnčík, ...
bioRxiv, 2021.03. 11.434971, 2021
72021
Steady-state levels of cytokinins and their derivatives may serve as a unique classifier of Arabidopsis ecotypes
Z Samsonová, NS Kiran, O Novák, I Spyroglou, J Skalák, J Hejátko, ...
Plants 9 (1), 116, 2020
62020
Dealing with the phenomenon of quasi-complete separation and a goodness of fit test in logistic regression models in the case of long data sets
VG Vassiliadis, II Spyroglou, AG Rigas, JR Rosenberg, KA Lindsay
Statistics in Biosciences 11, 567-596, 2019
52019
Ridge regression and bootstrapping in asthma prediction
II Spyroglou, EA Chatzimichail, E Spanou, E Paraskakis, AG Rigas
Proceedings of the Mathematical Methods, Mathematical Models and Simulation …, 2005
42005
A two-step Bayesian approach for modeling a complex neurophysiological system
II Spyroglou, AG Rigas
International journal of biology and biomedical engineering 12, 66-74, 2018
32018
A comparison of different ridge parameters in an asthma persistence prediction model
II Spyroglou, EA Chatzimichail, EN Paraskakis, AG Rigas
Int. J. Biol. Biomed. Eng 10, 1-9, 2016
32016
iReenCAM: automated imaging system for kinetic analysis of photosynthetic pigment biosynthesis at high spatiotemporal resolution during early deetiolation
V Balakhonova, T Dobisova, Z Benedikty, K Panzarova, J Pytela, R Koci, ...
Frontiers in Plant Science 14, 1093292, 2023
22023
Higher alterations in leaf fluorescence parameters of wheat cultivars predict more extensive necrosis in response to Zymoseptoria tritici
I Spyroglou, K Rybka, P Czembor, D Piaskowska, M Pernisová, P Matysik
Plant Pathology 71 (6), 1454-1466, 2022
22022
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