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Tuomo Hartonen
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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
1842014
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
992022
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
862012
Natural networks as thermodynamic systems
T Hartonen, A Annila
Complexity 18 (2), 53-62, 2012
442012
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
332018
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
132016
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
112023
How important tasks are performed: peer review
T Hartonen, MJ Alava
Scientific reports 3 (1), 1679, 2013
112013
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
82023
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
52023
A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk
B Jermy, K Läll, B Wolford, Y Wang, K Zguro, Y Cheng, M Kanai, S Kanoni, ...
medRxiv, 2023.06. 12.23291186, 2023
22023
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
12021
Natural networks
T Hartonen, A Annila
arXiv preprint arXiv:1106.4127, 2011
12011
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
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
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
Novel computational methods for studying the role and interactions of transcription factors in gene regulation
T Hartonen
Helsingin yliopisto, 2022
2022
Health, socioeconomic and genetic predictors of COVID-19 vaccination uptake: a nationwide machine-learning study (preprint)
T Hartonen, B Jermy, H Sonajalg, P Vartiainen, K Krebs, A Vabalas, ...
2022
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