Magyar
Csaba Kerepesi
I am a research fellow at Institute for Computer Science and Control (SZTAKI), Budapest, Hungary. My research focuses to mathematics and informatics that can help against diseases and aging.
- Address: SZTAKI, Lágymányosi u. 11., Room L 113 (first floor), 1111 Budapest, Hungary
- Contact: kerepesi (at) sztaki.hu, +36 1 279 6154
- Profiles: Google Scholar, MTMT, Twitter, Curriculum Vitae.
Postdocs are welcome to our group (e.g. on aging clocks)!
Publication list
Journal papers:
2023:- Poganik JR, Zhang B, Baht GS, Kerepesi C, Yim SH, Lu AT, Gong T, Hedman AM, Andolf E, Pershagen G, Almqvist C, White JP, Horvath S, Gladyshev VN
Biological age is increased by stress and restored upon recovery
Cell Metabolism 35, 1-14. (2023) [PDF]
- Kerepesi C, Meer MV, Ablaeva J, Amoroso VG, Lee S-G, Zhang B, Gerashchenko MV, Trapp A, Yim SH, Lu AT, Levine ME, Seluanov A, Horvath S, Park TJ, Gorbunova V, Gladyshev VN
Epigenetic aging of the demographically non-aging naked mole-rat
Nature Communications, Vol 13, No. 355 (2022) [PDF]
- Nyéki A, Daróczy B, Kerepesi C, Neményi M, Kovács AJ
Spatial Variability of Soil Properties and Its Effect on Maize Yields within Field—A Case Study in Hungary
Agronomy, Vol 12, No. 395 (2022) [PDF]
- Zhang B, Trapp A, Kerepesi C, Gladyshev VN
Emerging rejuvenation strategies—Reducing the biological age
Aging Cell (2021) [PDF]
- Trapp A, Kerepesi C, Gladyshev VN
Profiling epigenetic age in single cells
Nature Aging, Vol 1, pp 1189–1201 (2021) [PDF]
- Khera N, Santesmasses D, Kerepesi C, Gladyshev VN
COVID-19 mortality rate in children is U-shaped
Aging, Vol 13, Issue 16, pp 19954—19962 (2021) [PDF]
- Nyéki A, Kerepesi C, Daróczy B, Benczúr A, Milics G, Nagy J, Harsányi E, Kovács AJ, Neményi M
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods
Precision Agriculture, Vol 22, pp 1397–1415 (2021) [PDF]
- Kerepesi C, Zhang B, Lee SG, Trapp A, Gladyshev VN
Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging
Science Advances, Vol 7, Issue 26 (2021) [PDF]
- Santesmasses D, Castro JP, Zenin AA, Shindyapina AV, Gerashchenko MV, Zhang B, Kerepesi C, Yim SH, Fedichev PO, Gladyshev VN
COVID-19 is an emergent disease of aging
Aging Cell, Vol 19, No. e13230 (2020) [PDF]
- Kerepesi C, Bakacs T, Moss RW, Slavin S, Colin CA
Significant association between tumor mutational burden and immune‑related adverse events during immune checkpoint inhibition therapies
Cancer Immunology, Immunotherapy, Vol 69, pp 683–687 (2020) [PDF]
- Nyéki A, Kerepesi C, Daróczy B, Benczúr A, Milics G, Kovács AJ, Neményi M
Maize yield prediction based on artificial intelligence using spatio-temporal data
Precision agriculture '19 (2019) [PDF]
- Kerepesi C, Bakács T, Szabados T
MiStImm: an agent-based simulation tool to study the self-nonself discrimination of the adaptive immune response
Theoretical Biology and Medical Modelling, 16:9 (2019) [PubMed] [PDF]
- Szalkai B, Kerepesi C, Varga B, Grolmusz V
High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics
PLOS ONE, 14(4):e0215473 (2019) [PubMed] [PDF]
- Mendik P, Dobronyi L, Hári F, Kerepesi C, Maia-Moço L, Buszlai D, Csermely P, Veres DV
Translocatome: a novel resource for the analysis of protein translocation between cellular organelles
Nucleic Acids Research, Volume 47, Issue D1 (2019). [PubMed] [PDF]
- Kerepesi C, Daróczy B, Sturm Á, Vellai T, Benczúr A
Prediction and characterization of human ageing-related proteins by using machine learning
Scientific Reports, Vol 8, 4094 (2018). [PubMed] [PDF]
- Kerepesi C, Varga B, Szalkai B, Grolmusz V
The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain
Neuroscience Letters 673:51-55 (2018). [PubMed]
- Kerepesi C, Szalkai B, Varga B, Grolmusz V
Comparative connectomics: Mapping the inter-individual variability of connections within the regions of the human brain
Neuroscience Letters, Vol 662, pp 17-21, (2018). [PubMed]
- Kerepesi C, Szalkai B, Varga B, Grolmusz V
The braingraph.org database of high resolution structural connectomes and the brain graph tools
Cognitive Neurodynamics, Vol 11, Issue 5 (2017). [PubMed] [PDF] - Kerepesi C, Grolmusz V
The "Giant Virus Finder" Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys
Archives of Virology, Vol 162, Issue 6, pp 1671–1676 (2017). [PubMed] [PDF] - Bakacs T, Kristóf K, Mehrishi J, Szabados T, Kerepesi C, Regoes E, Tusnady G
Autoimmune T-cells induced by low dose immune checkpoint blockade could be a powerful therapeutic tool in cancer through activation of eliminative inflammation and immunity
Internal Medicine Review, Vol 3, No 4 (2017). [PDF] - Szabó A, Korponai K, Kerepesi C, Somogyi B, Vörös L, Bartha D, Márialigeti K, Felföldi T
Soda pans of the Pannonian steppe harbor unique bacterial communities adapted to multiple extreme conditions
Extremophiles, Vol 21, Issue 3 (2017). [PubMed] [PDF] - Szalkai B, Kerepesi C, Varga B, Grolmusz V
Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0
Cognitive Neurodynamics, 11(1), pp. 113-116, (2017). [PubMed] [PDF]
- Kerepesi C, Szabó JE, Papp-Kádár V, Dobay O, Szabó D, Grolmusz V and Vertessy BG
Life without dUTPase
Frontiers in Microbiology, 7:1768 (2016). [PubMed] [PDF] - Kerepesi C, Szalkai B, Varga B, Grolmusz V
How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain
PLOS ONE, 11(6): e0158680 (2016). [PubMed] [PDF] - Kerepesi C, Grolmusz V
Evaluating the Quantitative Capabilities of Metagenomic Analysis Software
Current Microbiology, Vol 72, Issue 5, pp 612-616 (2016). [PubMed] [PDF] - Kerepesi C, Grolmusz V
Giant viruses of the Kutch Desert
Archives of Virology, Vol 161, Issue 3, pp 721-724 (2016). [PubMed] [PDF]
- Szalkai B, Kerepesi C, Varga B, Grolmusz V
The Budapest Reference Connectome Server v2.0
Neuroscience Letters, Vol 595, pp 60–62 (2015). [PubMed] - Kerepesi C, Szalkai B, Grolmusz V
Visual Analysis of the Quantitative Composition of Metagenomic Communities: the AmphoraVizu Webserver
Microbial Ecology, Vol 69, Issue 3, pp 695-697 (2015). [PubMed] [PDF]
- Kerepesi C, Bánky D, Grolmusz V
AmphoraNet: The webserver implementation of the AMPHORA2 metagenomic workflow suite
Gene, Vol 533, Issue 2, pp 538-540 (2014). [PubMed]