simaCGH

These \(20\) samples of aCGH data are simulated using the Fused Lasso Latent
  Feature model with \(5\) features, as described in Section 4 of Nowak and
  others (2011).

datasets

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.

Gen Nowak

FLLat

Fused Lasso Latent Feature Model

simaCGH function

A matrix consisting of \(1000\) probes (rows) and \(20\) samples (columns).

simaCGH: Simulated aCGH Data

Description

Usage

Arguments

Format

References

Examples