gene: Simulated gene data to predict weight loss

In xtune: Regularized Regression with Feature-Specific Penalties Integrating External Information

Simulated gene data to predict weight loss

Description

The simulated gene data contains 50 observations, 200 predictors, and an continuous outcome, bone mineral density. The external information Z is four previous study results that identifies the biological importance of genes.

Usage

data(gene)

Format

The gene object is a list containing three elements:

• GeneExpression: Matrix of gene expression predictors.

• bonedensity: Continuous outcome variable

• PreviousStudy: Whether each gene is identified by previous study results.

See Also

diet

Examples

data(gene)
X <- gene$GeneExpression
Y <- gene$bonedensity
Z <- gene$PreviousStudy
fit <- xtune(X,Y,Z)
fit$penalty.vector

xtune documentation built on July 9, 2023, 5:22 p.m.