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Ekaterina Krymova

Showing results (1-10 of 12) with videos related to

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Nature Communications|March 27, 2025
Fatigue damage reduction in hydropower startups with machine learningTill Muser, Ekaterina Krymova, Alessandro Morabito, et al.
Genome Research|January 12, 2026
Early feature extraction drives model performance in high-resolution chromatin accessibility predictionAayush Grover, Till Muser, Liine Kasak, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 3, 2022
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwideEkaterina Krymova, Benjamín Béjar, Dorina Thanou, et al.
Nucleic Acids Research|May 21, 2026
UniversalEPI: robust prediction of cell type-specific and differential chromatin interactions from DNA sequence and chromatin accessibilityAayush Grover, Lin Zhang, Till Muser, et al.
Plos Computational Biology|November 27, 2023
Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in GermanyElisabeth K Brockhaus, Daniel Wolffram, Tanja Stadler, et al.
Nucleic Acids Research|December 1, 2016
Application of sorting and next generation sequencing to study 5΄-UTR influence on translation efficiency in Escherichia coliSergey A Evfratov, Ilya A Osterman, Ekaterina S Komarova, et al.
Communications Medicine|November 9, 2022
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Environment International|June 27, 2025
High-resolution modelling of particulate matter chemical composition over Europe: brake wear pollutionAbhishek Upadhyay, Jianhui Jiang, Yun Cheng, et al.
Nature|July 15, 2026
Rising dust pollution across Europe in a changing climatePetros N Vasilakos, Abhishek Upadhyay, Manousos I Manousakas, et al.
Environment International|February 19, 2026
High-resolution modelling of organic aerosol over Europe: exploring spatial and temporal variability and driversDaniel Trejo Banos, Abhishek Upadhyay, Yun Cheng, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Nature Communications|March 27, 2025
Fatigue damage reduction in hydropower startups with machine learningTill Muser, Ekaterina Krymova, Alessandro Morabito, et al.
Genome Research|January 12, 2026
Early feature extraction drives model performance in high-resolution chromatin accessibility predictionAayush Grover, Till Muser, Liine Kasak, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 3, 2022
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwideEkaterina Krymova, Benjamín Béjar, Dorina Thanou, et al.
Nucleic Acids Research|May 21, 2026
UniversalEPI: robust prediction of cell type-specific and differential chromatin interactions from DNA sequence and chromatin accessibilityAayush Grover, Lin Zhang, Till Muser, et al.
Plos Computational Biology|November 27, 2023
Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in GermanyElisabeth K Brockhaus, Daniel Wolffram, Tanja Stadler, et al.
Nucleic Acids Research|December 1, 2016
Application of sorting and next generation sequencing to study 5΄-UTR influence on translation efficiency in Escherichia coliSergey A Evfratov, Ilya A Osterman, Ekaterina S Komarova, et al.
Communications Medicine|November 9, 2022
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Environment International|June 27, 2025
High-resolution modelling of particulate matter chemical composition over Europe: brake wear pollutionAbhishek Upadhyay, Jianhui Jiang, Yun Cheng, et al.
Nature|July 15, 2026
Rising dust pollution across Europe in a changing climatePetros N Vasilakos, Abhishek Upadhyay, Manousos I Manousakas, et al.
Environment International|February 19, 2026
High-resolution modelling of organic aerosol over Europe: exploring spatial and temporal variability and driversDaniel Trejo Banos, Abhishek Upadhyay, Yun Cheng, et al.
Pageof 2