• Inferring feature importance with uncertainties with application to large genotype data 

      Johnsen, Pål Vegard; Strumke, Inga; Langaas, Mette; DeWan, Andrew Thomas; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2023)
      Estimating feature importance, which is the contribution of a prediction or several predictions due to a feature, is an essential aspect of explaining data-based models. Besides explaining the model itself, an equally ...
    • Mobile Sensing in Substance Use Research: A Scoping Review 

      Lauvsnes, Anders Dahlen Forsmo; Langaas, Mette; Toussaint, Pieter Jelle; Gråwe, Rolf W. (Peer reviewed; Journal article, 2020)
      Background:Addictive disorders and substance use are significant health challenges worldwide, and relapse is a core component of addictive disorders. The dynamics surrounding relapse and especially the immediate period ...
    • A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values 

      Johnsen, Pål Vegard; Riemer-Sørensen, Signe; DeWan, Andrew Thomas; Cahill, Megan E.; Langaas, Mette (Peer reviewed; Journal article, 2021)
      Background The identification of gene–gene and gene–environment interactions in genome-wide association studies is challenging due to the unknown nature of the interactions and the overwhelmingly large number of possible ...