LEMMA is used to detect "nonnull genes" - genes for which the average response in treatment group 1 is significantly different from the average response in group 2, in normalized microarray data. LEMMA is an implementation of an approximate EM algorithm to estimate the parameters in the assumed linear model in Bar, Booth, Schifano, Wells (2009).
| Version: | 1.2-1 |
| Published: | 2009-09-03 |
| Author: | Haim Bar, Elizabeth Schifano. |
| Maintainer: | Haim Bar <hyb2 at cornell.edu> |
| License: | GPL (≥ 2) |
| URL: | http://www.stat.cornell.edu/lemma |
| CRAN checks: | lemma results |
| Package source: | lemma_1.2-1.tar.gz |
| MacOS X binary: | lemma_1.2-1.tgz |
| Windows binary: | lemma_1.2-1.zip |
| Reference manual: | lemma.pdf |