Linear Mixed effect Model Splines ('lmms') 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 group x time interaction.
| Version: |
1.3.3 |
| Depends: |
R (≥ 3.0.0), ggplot2 |
| Imports: |
stats, methods, nlme, lmeSplines, parallel, reshape2, gdata, gplots, gridExtra |
| Published: |
2016-03-07 |
| Author: |
Jasmin Straube [aut, cre],
Kim-Anh Le Cao [aut],
Emma Huang [aut],
Dominique Gorse [ctb] |
| Maintainer: |
Jasmin Straube <j.straube at qfab.org> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
lmms results |