Showing results 42 to 61 of 100
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Issue Date | Title | Author(s) | Rank |
19-Mar-2012 | Generalization of radiative jet energy loss to non-zero magnetic mass | Djordjevic, Magdalena; Đorđević, Marko | |
18-Oct-2021 | Global COVID-19 growth signatures used to characterize COVID-19 nonlinear infection dynamics | Đorđević, M. ; Đorđević, M.; Ilić, B.; Stojku, S.; Salom, I. | M34 |
22-Sep-2014 | Heavy flavor puzzle from data measured at the BNL Relativistic Heavy Ion Collider: Analysis of the underlying effects | Djordjevic, Magdalena; Đorđević, Marko | |
19-Jun-2019 | How to test path-length dependence in energy loss mechanisms: analysis leading to a new observable | Djordjevic, Magdalena; Zigic, Dusan; Djordjevic, Marko ; Auvinen, Jussi | M21 |
17-Oct-2018 | In silico analysis suggests common appearance of scaRNAs in type II systems and their association with bacterial virulence | Đorđević, Marko ; Guzina, Jelena ; Chen, Wei Hua; Stankovic, Tamara; Djordjevic, Magdalena; Zdobnov, Evgeny | M21 |
1-Jan-2015 | Inferring bacteriophage infection strategies from genome sequence: Analysis of bacteriophage 7-11 and related phages | Guzina, Jelena ; Đorđević, Marko | |
18-Oct-2021 | Inferring COVID-19 severity determinants by combining epidemiological modeling and machine learning | Marković, S. ; Rodić, A. ; Salom, I.; Milićević, O.; Đorđević, M.; Đorđević, Marko | M34 |
30-Jun-2022 | Inferring environmental drivers of COVID-19 severity by machine learning | Markovic, S. ; Rodić, Anđela ; Salom, I.; Milicevic, O.; Đorđević, M.; Đorđević, Marko | M34 |
1-Sep-2021 | Inferring the Main Drivers of SARS‐CoV‐2 Global Transmissibility by Feature Selection Methods | Djordjevic, Marko ; Salom, Igor; Markovic, Sofija ; Rodic, Andjela ; Milicevic, Ognjen; Djordjevic, Magdalena | M21 |
2023 | Initial Time \(\tau _0\) Constrained by High-\(p_\perp \) Data | Stojku, S.; Auvinen, J.; Đorđević, M.; Đorđević, Marko ; Huovinen, P. | M23 |
1-Jan-2014 | Integrating sequence analysis with biophysical modelling for accurate transcription start site prediction | Đorđević, Marko | |
18-Oct-2021 | Investigating the SARS-CoV-2 virus transmission using a non-linear compartmental epidemiological model | Salom, Igor; Rodić, Anđela ; Milicević, Ognjen; Zigić, Dušan; Ilić, Bojana; Đorđević, Magdalena; Đorđević, Marko | M34 |
2023 | A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity | Tumbas Z. Marko ; Marković, Sofija ; Salom, Igor; Đorđević, Marko | |
27-Jun-2014 | LHC jet suppression of light and heavy flavor observables | Djordjevic, Magdalena; Đorđević, Marko | |
Sep-2019 | The logic of regulation design in bacterial restriction-modification systems | Rodic, Andjela ; Blagojevic, Bojana; Djordjevic, Magdalena; Severinov, Konstantin; Djordjevic, Marko | |
Jun-2023 | Machine learning approach in inferring main population-level COVID-19 risk factors | Markovic S ; Rodic A ; Milicevic O; Salom I; Djordjevic M; Djordjevic M | M34 |
7-Feb-2017 | Mix-and-matching as a promoter recognition mechanism by ECF σ factors | Guzina, Jelena ; Đorđević, Marko | |
20-Sep-2017 | Modeling and bioinformatics of bacterial immune systems: understanding regulation of CRISPR-Cas and restriction-modification systems | Guzina J ; Rodić, A ; Blagojević B; Đorđević M | M62 |
2017 | Modeling and bioinformatics of bacterial immune systems: understanding regulation of CRISPR/Cas and restriction-modification systems | Guzina, Jelena ; Rodić, Anđela ; Blagojević, Bojana; Đorđević, Marko | |
1-May-2013 | Modeling bacterial immune systems: Strategies for expression of toxic - but useful - molecules | Đorđević, Marko | |