| Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences M Ekeberg, T Hartonen, E Aurell Journal of Computational Physics 276, 341-356, 2014 | 190 | 2014 |
| Sequence determinants of human gene regulatory elements B Sahu, T Hartonen, P Pihlajamaa, B Wei, K Dave, F Zhu, E Kaasinen, ... Nature Genetics 54 (3), 283-294, 2022 | 118 | 2022 |
| Patterns, entropy, and predictability of human mobility and life SM Qin, H Verkasalo, M Mohtaschemi, T Hartonen, M Alava PloS one 7 (12), e51353, 2012 | 89 | 2012 |
| Natural networks as thermodynamic systems T Hartonen, A Annila Complexity 18 (2), 53-62, 2012 | 44 | 2012 |
| Contribution of allelic imbalance to colorectal cancer K Palin, E Pitkänen, M Turunen, B Sahu, P Pihlajamaa, T Kivioja, ... Nature communications 9 (1), 3664, 2018 | 36 | 2018 |
| Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland T Hartonen, B Jermy, H Sõnajalg, P Vartiainen, K Krebs, A Vabalas, ... Nature human behaviour 7 (7), 1069-1083, 2023 | 13 | 2023 |
| PeakXus: comprehensive transcription factor binding site discovery from ChIP-Nexus and ChIP-Exo experiments T Hartonen, B Sahu, K Dave, T Kivioja, J Taipale Bioinformatics 32 (17), i629-i638, 2016 | 13 | 2016 |
| Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model P Vartiainen, S Jukarainen, SA Rhedin, A Prinz, T Hartonen, A Vabalas, ... The Lancet Digital Health 5 (11), e821-e830, 2023 | 12 | 2023 |
| How important tasks are performed: peer review T Hartonen, MJ Alava Scientific reports 3 (1), 1679, 2013 | 11 | 2013 |
| A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk B Jermy, K Läll, BN Wolford, Y Wang, K Zguro, Y Cheng, M Kanai, ... Nature Communications 15 (1), 5007, 2024 | 7 | 2024 |
| Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry) E Viippola, S Kuitunen, RS Rodosthenous, A Vabalas, T Hartonen, ... International Journal of Epidemiology 52 (4), e195-e200, 2023 | 6 | 2023 |
| Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning R Monti, L Eick, G Hudjashov, K Läll, S Kanoni, BN Wolford, B Wingfield, ... The American Journal of Human Genetics 111 (7), 1431-1447, 2024 | 2 | 2024 |
| Evaluation of polygenic scoring methods in five biobanks reveals greater variability between biobanks than between methods and highlights benefits of ensemble learning R Monti, L Eick, G Hudjashov, K Läll, S Kanoni, BN Wolford, B Wingfield, ... medRxiv, 2023.11. 20.23298215, 2023 | 1 | 2023 |
| PlotMI: visualization of pairwise interactions and positional preferences learned by a deep learning model from sequence data T Hartonen, T Kivioja, J Taipale bioRxiv, 2021 | 1 | 2021 |
| Natural networks T Hartonen, A Annila arXiv preprint arXiv:1106.4127, 2011 | 1 | 2011 |
| Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker A Vabalas, T Hartonen, P Vartiainen, S Jukarainen, E Viippola, ... Nature Aging, 1-14, 2024 | | 2024 |
| Polygenic risk scores predict the onset of 8 diseases better than environmental and clinical risk factors K Detrois, T Hartonen, B Jermy, S Ripatti, A Ganna EUROPEAN JOURNAL OF HUMAN GENETICS 32, 779-779, 2024 | | 2024 |
| Phenotype data harmonization and polygenic risk score analysis of 19 diseases in the Intervene consortium K Lall, B Jermy, B Wolford, T Laisk, FD Pajuste, J Mehtonen, T Hartonen, ... HUMAN HEREDITY 88 (SUPPL 1), 68-68, 2023 | | 2023 |
| Deep learning-based prediction of one-year mortality in the entire Finnish population is an accurate but unfair digital marker of aging A Vabalas, T Hartonen, P Vartiainen, S Jukarainen, E Viippola, ... medRxiv, 2023.09. 18.23295726, 2023 | | 2023 |
| Health, socioeconomic and genetic predictors of COVID-19 vaccination uptake: a nationwide machine-learning study T Hartonen, B Jermy, H Sõnajalg, P Vartiainen, K Krebs, A Vabalas, ... medRxiv, 2022.11. 11.22282213, 2022 | | 2022 |
