Fit Gaussian Mixture Model to a vector of gene expression data values.
Usage
fitGMM(exprVals,RDparameters,rejectNull=0.05)
Arguments
exprVals
A numeric vector of expression values for one gene
RDparameters
A list of Rocke-Durbin error model parameters, generated by the fitRockeDurbin function
rejectNull
Numeric value specifying significance level for rejecting null hypothesis that the expression values arise from a single value and expected errors
Value
Mclust
Details
Uses Mclust to fit a Gaussian Mixture Model (with an unspecified number of components) to a vector of expression values for one gene across a dataset. Required to create models used by GESTr.