2 citations · 3 across the 3 of their papers we have counts for
3 papers
Penalised regression with multiple sources of prior effects
Armin Rauschenberger, Zied Landoulsi, Mark A. van de Wiel +1
In many high-dimensional prediction or classification tasks, complementary data on the features are available, e.g. prior biological knowledge on (epi)genetic markers. Here we cons…
Fast cross-validation for multi-penalty ridge regression
Mark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger
High-dimensional prediction with multiple data types needs to account for potentially strong differences in predictive signal. Ridge regression is a simple model for high-dimension…
Detecting SNPs with interactive effects on a quantitative trait
Armin Rauschenberger, Renee X. Menezes, Mark A. van de Wiel +2
Here we propose a test to detect effects of single nucleotide polymorphisms (SNPs) on a quantitative trait. Significant SNP-SNP interactions are more difficult to detect than signi…