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.
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curl https://depscope.dev/api/check/conda/r-lmmsFirst published · 2021-05-27 00:45:37.582000+00:00
Last updated · 2025-09-22 06:15:45.469000+00:00