| dc.contributor.advisor | Langaas, Mette | |
| dc.contributor.advisor | Riemer-Sørensen, Signe | |
| dc.contributor.author | Johnsen, Pål Vegard | |
| dc.date.accessioned | 2022-01-14T10:34:35Z | |
| dc.date.available | 2022-01-14T10:34:35Z | |
| dc.date.issued | 2022 | |
| dc.identifier.isbn | 978-82-326-6718-5 | |
| dc.identifier.issn | 2703-8084 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2837438 | |
| dc.language.iso | eng | en_US |
| dc.publisher | NTNU | en_US |
| dc.relation.ispartofseries | Doctoral theses at NTNU;2022:26 | |
| dc.relation.haspart | Paper 1: Johnsen, Pål V.; Bakke, Øyvind; Bjørnland, Thea; DeWan, Andrew Thomas; and Langaas Mette. Saddlepoint approximations in binary genome-wide association studies. 2021. Awaiting publication. arXiv: https://arxiv.org/abs/2110.04025 | en_US |
| dc.relation.haspart | Paper 2: Johnsen, Pål Vegard; Riemer-Sørensen, Signe; DeWan, Andrew Thomas; DeWan, Andrew; Cahill, Megan E.; Langaas, Mette. A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values. BMC Bioinformatics 2021 ;Volum 22.(1) s. 1-29 | en_US |
| dc.relation.haspart | Paper 3: Johnsen, Pål V.; Strümke, Inga; Riemer-Sørensen, Signe; DeWan, Andrew Thomas and Langaas, Mette. Inferring feature importance with uncertainties in high-dimensional data 2021. Awaiting publication. arXiv: https://arxiv.org/abs/2109.00855 | en_US |
| dc.title | Explainability and validity of statistical methods for genome-wide association studies: Extending Shapley-based explanation methods and adapting saddlepoint approximations | en_US |
| dc.type | Doctoral thesis | en_US |
| dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410 | en_US |
