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Found 3 papers, 2 papers with code
Penalised regression with multiple sources of prior effects
In many high-dimensional prediction or classification tasks, complementary data on the features are available, e. g. prior biological knowledge on (epi)genetic markers.
Fast cross-validation for multi-penalty ridge regression
Ridge regression is a simple model for high-dimensional data that has challenged the predictive performance of many more complex models and learners, and that allows inclusion of data type specific penalties.
Detecting SNPs with interactive effects on a quantitative trait
Here we propose a test to detect effects of single nucleotide polymorphisms (SNPs) on a quantitative trait.
Methodology
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