Charalampos Kyriakopoulos
Charalampos Kyriakopoulos
Machine Learning R&D, Bristol Myers Squibb
Verified email at - Homepage
Cited by
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MERVL/Zscan4 network activation results in transient genome-wide DNA demethylation of mESCs
MA Eckersley-Maslin, V Svensson, C Krueger, TM Stubbs, P Giehr, ...
Cell reports 17 (1), 179-192, 2016
The influence of hydroxylation on maintaining CpG methylation patterns: a hidden Markov model approach
P Giehr, C Kyriakopoulos, G Ficz, V Wolf, J Walter
PLoS computational biology 12 (5), e1004905, 2016
Two are better than one: HPoxBS-hairpin oxidative bisulfite sequencing
P Giehr, C Kyriakopoulos, K Lepikhov, S Wallner, V Wolf, J Walter
Nucleic acids research 46 (15), e88-e88, 2018
H (O) TA: estimation of DNA methylation and hydroxylation levels and efficiencies from time course data
C Kyriakopoulos, P Giehr, V Wolf
arXiv preprint arXiv:1606.07807, 2016
Lumping of degree-based mean-field and pair-approximation equations for multistate contact processes
C Kyriakopoulos, G Grossmann, V Wolf, L Bortolussi
Physical Review E 97 (1), 012301, 2018
A hybrid HMM approach for the dynamics of DNA methylation
C Kyriakopoulos, P Giehr, A Lück, J Walter, V Wolf
International Workshop on Hybrid Systems Biology, 117-131, 2019
Lumping the approximate master equation for multistate processes on complex networks
G Großmann, C Kyriakopoulos, L Bortolussi, V Wolf
International Conference on Quantitative Evaluation of Systems, 157-172, 2018
Optimal observation time points in stochastic chemical kinetics
C Kyriakopoulos, V Wolf
International Workshop on Hybrid Systems Biology, 83-96, 2014
A comprehensive approach for genome-wide efficiency profiling of DNA modifying enzymes
C Kyriakopoulos, K Nordström, PL Kramer, JY Gottfreund, A Salhab, ...
Cell reports methods 2 (3), 100187, 2022
Stochastic modeling of DNA demethylation dynamics in ESCs
C Kyriakopoulos
Saarländische Universitäts-und Landesbibliothek, 2019
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