Fused Lasso Latent Feature Model 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. Software Depends: gplots Gen Nowak <gen.nowak@gmail.com> Gen Nowak, Trevor Hastie, Jonathan R. Pollack, Robert Tibshirani and Nicholas Johnson. GPL (>= 2) 2011-06-05 application/tgz http://CRAN.R-project.org/package=FLLat