TMixClust - Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines
Implementation of a clustering method for time series gene expression data based on mixed-effects models with Gaussian variables and non-parametric cubic splines estimation. The method can robustly account for the high levels of noise present in typical gene expression time series datasets.
Last updated 5 months ago
softwarestatisticalmethodclusteringtimecoursegeneexpression
3.60 score 23 dependencies