| scDiffCom: a tool for differential analysis of cell–cell interactions provides a mouse atlas of aging changes in intercellular communication C Lagger, E Ursu, A Equey, RA Avelar, AO Pisco, R Tacutu, ... Nature Aging 3 (11), 1446-1461, 2023 | 19* | 2023 |
| Explaining health across the sciences J Sholl, SIS Rattan Springer, 2020 | 18 | 2020 |
| Machine learning analysis of longevity-associated gene expression landscapes in mammals AY Kulaga, E Ursu, D Toren, V Tyshchenko, R Guinea, M Pushkova, ... International Journal of Molecular Sciences 22 (3), 1073, 2021 | 10 | 2021 |
| Systems biology analysis of lung fibrosis-related genes in the bleomycin mouse model D Toren, H Yanai, R Abu Taha, G Bunu, E Ursu, R Ziesche, R Tacutu, ... Scientific Reports 11 (1), 19269, 2021 | 9 | 2021 |
| Training data composition determines machine learning generalization and biological rule discovery E Ursu, A Minnegalieva, P Rawat, M Chernigovskaya, R Tacutu, ... bioRxiv, 2024.06. 17.599333, 2024 | 1 | 2024 |
| Drug prediction for reversing AD/PD transcriptional profiles using an aging of systems-centric approach G Bunu, D Toren, E Ursu, S Ghenea, VE Fraifeld, R Tacutu bioRxiv, 2022.11. 01.514657, 2022 | | 2022 |
