| Autor: |
Marziyeh Arabnejad, Courtney G. Montgomery, Patrick M. Gaffney, Brett A. McKinney |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Frontiers in Genetics, Vol 11 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1664-8021 |
| DOI: |
10.3389/fgene.2020.00784 |
| Popis: |
Nearest-neighbor Projected-Distance Regression (NPDR) is a feature selection technique that uses nearest-neighbors in high dimensional data to detect complex multivariate effects including epistasis. NPDR uses a regression formalism that allows statistical significance testing and efficient control for multiple testing. In addition, the regression formalism provides a mechanism for NPDR to adjust for population structure, which we apply to a GWAS of systemic lupus erythematosus (SLE). We also test NPDR on benchmark simulated genetic variant data with epistatic effects, main effects, imbalanced data for case-control design and continuous outcomes. NPDR identifies potential interactions in an epistasis network that influences the SLE disorder. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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