Seuraa
Bettina Benczik
Bettina Benczik
Bioinformatician, Semmelweis University
Vahvistettu sähköpostiosoite verkkotunnuksessa med.semmelweis-univ.hu
Nimike
Viittaukset
Viittaukset
Vuosi
Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model
OM Balogh, B Benczik, A Horváth, M Pétervári, P Csermely, P Ferdinandy, ...
BMC bioinformatics 23 (1), 78, 2022
292022
Assessment of community efforts to advance network-based prediction of protein–protein interactions
XW Wang, L Madeddu, K Spirohn, L Martini, A Fazzone, L Becchetti, ...
Nature communications 14 (1), 1582, 2023
262023
Ischaemic post‐conditioning in rats: Responder and non‐responder differ in transcriptome of mitochondrial proteins
R Schreckenberg, J Klein, HS Kutsche, R Schulz, K Gömöri, P Bencsik, ...
Journal of Cellular and Molecular Medicine 24 (10), 5528-5541, 2020
232020
Disease-and headache-specific microRNA signatures and their predicted mRNA targets in peripheral blood mononuclear cells in migraineurs: role of inflammatory signalling and …
T Aczél, B Benczik, B Ágg, T Körtési, P Urbán, W Bauer, A Gyenesei, ...
The Journal of Headache and Pain 23 (1), 113, 2022
212022
Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality
Y Devaux, L Zhang, AI Lumley, K Karaduzovic-Hadziabdic, V Mooser, ...
Nature communications 15 (1), 4259, 2024
112024
Network analysis for signal detection in spontaneous adverse event reporting database: application of network weighting Normalization to characterize cardiovascular drug safety
M Pétervári, B Benczik, OM Balogh, B Petrovich, B Ágg, P Ferdinandy
Drug Safety 45 (11), 1423-1438, 2022
72022
Assessment of community efforts to advance computational prediction of protein-protein interactions
XW Wang, L Madeddu, K Spirohn, L Martini, A Fazzone, L Becchetti, ...
BioRxiv, 2021.09. 22.461292, 2021
62021
Mitigating off‐target effects of small RNAs: conventional approaches, network theory and artificial intelligence
Z Bereczki, B Benczik, OM Balogh, S Marton, E Puhl, M Pétervári, ...
British Journal of Pharmacology 182 (2), 340-379, 2025
52025
YB-1 is a novel target for the inhibition of α-adrenergic-induced hypertrophy
J Heger, S Partsch, C Harjung, ZV Varga, T Baranyai, J Weiß, L Kremer, ...
International Journal of Molecular Sciences 25 (1), 401, 2023
22023
Pharmacokinetics and cardioprotective efficacy of intravenous miR‐125b* microRNA mimic in a mouse model of acute myocardial infarction
T Szabados, A Makkos, B Ágg, B Benczik, GG Brenner, M Szabó, ...
British Journal of Pharmacology 182 (2), 432-450, 2025
12025
Guidelines for mitochondrial RNA analysis
A Jusic, Z Erpapazoglou, LT Dalgaard, P Lakkisto, D de Gonzalo-Calvo, ...
Molecular Therapy-Nucleic Acids 35 (3), 2024
12024
Pressure overload-induced systolic heart failure is associated with characteristic myocardial microRNA expression signature and post-transcriptional gene regulation in male rats
M Ruppert, S Korkmaz-Icöz, B Benczik, B Ágg, D Nagy, T Bálint, ...
Scientific Reports 13 (1), 16122, 2023
12023
Searching for cardioprotective microRNA families by bioinformatics analysis of cross-species transcriptomic datasets
B Agg, B Benczik, BV Kemendi, A Makkos, M Petervari, ZV Varga, ...
Cardiovascular Research 118 (Supplement_1), cvac066. 056, 2022
12022
Long noncoding RNAs and machine learning to improve cardiovascular outcomes of COVID-19
K Karaduzovic-Hadziabdic, M Adilović, L Zhang, A Lumley, P Shah, ...
Circulation 150 (Suppl_1), A4117883-A4117883, 2024
2024
Prediction of COVID‐19 severity using machine learning
K Karaduzovic‐Hadziabdic, M Adilovic, L Zhang, AI Lumley, P Shah, ...
Clinical and translational medicine 14 (10), e70042, 2024
2024
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Artikkelit 1–15