FLLat
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, and for estimating the false discovery rate.
- Version1.2-1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/23/2017
Documentation
Team
Gen Nowak
Trevor Hastie
Show author detailsRolesAuthorJonathan R. Pollack
Show author detailsRolesAuthorRobert Tibshirani
Show author detailsRolesAuthorNicholas Johnson
Show author detailsRolesAuthor
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- Imports2 packages