Software implementing the Partitioned LASSO-Patternsearch (pLPS) approach described in the paper

[1] W. Shi, G. Wahba, R. A. Irizarry, H. Corrada Bravo, and S. J. Wright, "The Partitioned LASSO-Patternsearch Algorithm with Application to Gene Expression Data," Technical Report, Department of Statistics, University of Wisconsin-Madison. Revised January 2012.

Updated 27 Feb 2012.

pLPS: Single-Processor

• plps_simple.tgz. Unpack to create a directory "plps_simple" and see the README file for further information.

pLPS: Condor

Requires installation of the Condor system for high-throughput computing on your local computing environment.

• plps_condor.tgz and matlab data files data_condor1.mat and data_condor2.mat.

Updates

Support

This research was supported by National Science Foundation Grants DMS-0906818 and DAM-00914524, NIH Grant EY009946, ONR Grant N0014-09-1-0655. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.