Sep 2, 2016 · Our method allows feasible incorporation of biological knowledge into predictive models with a large number of potential covariates, leading to ...
Our method leads to comparable or improved predictive performance, and models with greater face validity and interpretability with feasible ...
It is useful to incorporate biological knowledge on the role of genetic determinants in predicting an outcome. It is, however, not always feasible to fully ...
(PDF) Tilting the lasso by knowledge-based post-processing
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Conclusion: Our method leads to comparable or improved predictive performance, and models with greater face validity and interpretability with feasible ...
Supplementary Materials for Tilting the Lasso by. Knowledge Based Post Processing. Kukatharmini Tharmaratnam , Matt Sperrin, Thomas Jaki, Sjur Reppe and ...
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Tilting the lasso by knowledge-based post-processing. K. Tharmaratnam; M. Sperrin; T. Jaki; Sjur Reppe; Arnoldo Frigessi. Publication details. Journal: BMC ...
We present an approach to overcome this difficulty. First, using half of the available data, a shortlist of potentially interesting determinants are generated.
We present an approach to overcome this difficulty. First, using half of the available data, a shortlist of potentially interesting determinants are generated.
Bibliographic Details. Main Authors: Tharmaratnam, Kukatharmini, Sperrin, Matthew, Jaki, Thomas, Reppe, Sjur, Frigessi, Arnoldo. Format: Online.