DoCluster2: Save output of a heatmap built from a decision matrix and...
In mssm-msf-2019/BiostatsALL:

a function that preprocess output from limma model and draws a heatmap according to a set of parameters

1 2	DoCluster2(Decision, ebfit, reset, dmeth = "euclidean", hmeth = "complete", cols = NULL, Group, Patients)

`Decision`	is a matrix indicating up(1), down(-1) regulation for each contrast is a gene list.
`ebfit`	is a matrix of coefficients for each contrast
`reset`	is the expression set used as input for the limma model
`dmeth`	is the method for distance
`hmeth`	is the agglomerative method used for the hierarchical clustering
`cols`	is a vector defining how the columns in the hierarchical heatmap should be ordered
`Group`	is a vector indicating the levels associated with columns in the expression sets
`Patients`	is a vector indicating the patients IDs associated with columns in the expression sets