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lmms: Linear Mixed Effect Model Splines for Modelling and Analysis of Time Course Data
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.
Getting started
Browse package contents
Package details |
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| Author | Jasmin Straube [aut, cre], Kim-Anh Le Cao [aut], Emma Huang [aut], Dominique Gorse [ctb] |
| Maintainer | Jasmin Straube <j.straube@qfab.org> |
| License | GPL (>= 2) |
| Version | 1.3.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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