Fused Lasso Latent Feature Model
Optimal Tuning Parameters for the Fused Lasso Latent Feature Model
False Discovery Rate for the Fused Lasso Latent Feature Model
Choosing the Number of Features for the Fused Lasso Latent Feature Mod...
Fused Lasso Latent Feature Model
Plots Results from the Fused Lasso Latent Feature Model
Predicted Values and Weights based on the Fused Lasso Latent Feature M...
Fits the Fused Lasso Latent Feature model, which is used for modeling multi-sample aCGH data to identify regions of copy number variation (CNV). Produces a set of features that describe the patterns of CNV and a set of weights that describe the composition of each sample. Also provides functions for choosing the optimal tuning parameters and the appropriate number of features, and for estimating the false discovery rate.