Pål Vegard Johnsen (Pål V Johnsen)

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Molecular Dynamics

Cross Sectional

Genome Wide Association

Top Venues

Statistics in medicine

PLoS computational biology

BMC bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Pål Vegard Johnsen, Øyvind Bakke, Thea Bjørnland, Andrew Thomas DeWan, Mette Langaas
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome-wide association studies. Statistics in medicine (2023)
Pål Vegard Johnsen, Inga Strümke, Mette Langaas, Andrew Thomas DeWan, Signe Riemer-Sørensen
Inferring feature importance with uncertainties with application to large genotype data. PLoS computational biology 19 (3) (2023)
Pål Vegard Johnsen, Øyvind Bakke, Thea Bjørnland, Andrew Thomas DeWan, Mette Langaas
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome-wide association studies. Statistics in medicine (2023)
Pål Vegard Johnsen, Øyvind Bakke, Thea Bjørnland, Andrew Thomas DeWan, Mette Langaas
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome-wide association studies. Statistics in medicine (2023)
Pål Vegard Johnsen, Inga Strümke, Mette Langaas, Andrew Thomas DeWan, Signe Riemer-Sørensen
Inferring feature importance with uncertainties with application to large genotype data. PLoS computational biology 19 (3) (2023)
Pål Vegard Johnsen, Øyvind Bakke, Thea Bjørnland, Andrew Thomas DeWan, Mette Langaas
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome-wide association studies. Statistics in medicine (2023)
Pål Vegard Johnsen, Inga Strümke, Mette Langaas, Andrew Thomas DeWan, Signe Riemer-Sørensen
Inferring feature importance with uncertainties with application to large genotype data. PLoS computational biology 19 (3) (2023)
Pål Vegard Johnsen, Signe Riemer-Sørensen, Andrew Thomas DeWan, Megan E Cahill, Mette Langaas
A new method for exploring gene-gene and gene-environment interactions in GWAS with tree ensemble methods and SHAP values. BMC bioinformatics 22 (1) (2021)