The package implements linear mixed effect model splines for
modelling and differential expression for highly dimensional data sets:
investNoise for quality control and filterNoise for removing
non-informative trajectories; lmmSpline to model time course expression
profiles and lmmsDE performs differential expression analysis to identify
differential expression between groups, time and/or time x group
interaction.
| Version: |
1.1 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
stats, methods, nlme, lmeSplines, parallel, reshape, gdata, gplots, ggplot2, graphics |
| Published: |
2014-09-11 |
| Author: |
Jasmin Straube, Kim-Anh Le Cao and Emma Huang with contributions of
Dominique Gorse |
| Maintainer: |
Jasmin Straube <j.straube at qfab.org> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
lmms results |