10.1371/journal.pone.0192853 | Papers

Papers: 10.1371/journal.pone.0192853

Improving stability of prediction models based on correlated omics data by using network approaches

Cited by: 5
Author(s): Renaud Tissier, Jeanine J. Houwing-Duistermaat, Mar Rodríguez-Girondo
Published: over 7 years ago

Better prediction by use of co-data: Adaptive group-regularized ridge regression
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Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation
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Regularization Paths for Regression Models with Grouped Covariates
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High-Dimensional Undirected Graph Estimation
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Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization
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Weighted Correlation Network Analysis
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Find huge additions in Git history.
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A simple lasso package
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