フォロー
II Spyroglou
II Spyroglou
MSD - Czech Republic
確認したメール アドレス: merck.com
タイトル
引用先
引用先
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
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
272021
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
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
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
172022
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
172022
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
92024
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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