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Showing 1–6 of 6 results
Advanced filters: Author: Tuomo Hartonen Clear advanced filters

  • The authors use data on the entire Finnish population to develop a machine learning model for predicting COVID-19 vaccination uptake. Important predictors are proxies of socio-economic status, and those at high risk for COVID-19 consequences are less likely to get vaccinated.

    • Tuomo Hartonen
    • Bradley Jermy
    • Andrea Ganna
    ResearchOpen Access
    Nature Human Behaviour
    Volume: 7, P: 1069-1083

  • Analysis of massively parallel reporter assays measuring the transcriptional activity of DNA sequences indicates that most transcription factor (TF) activity is additive and does not rely on specific TF–TF interactions. Individual TFs can have different gene regulatory activities.

    • Biswajyoti Sahu
    • Tuomo Hartonen
    • Jussi Taipale
    ResearchOpen Access
    Nature Genetics
    Volume: 54, P: 283-294

  • In this study the authors examine the allelic imbalance (AI) landscape of colorectal cancer, reporting loss of TP53 as a driver of AI. They use CRISPR-Cas9 screens to identify 79 genes (within AI regions) regulating cell growth and identify a network of transcription factors that may contribute to colorectal tumorigenesis.

    • Kimmo Palin
    • Esa Pitkänen
    • Lauri A. Aaltonen
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-9