MIcondition: Modules detection by each condition
In MODA: MODA: MOdule Differential Analysis for weighted gene co-expression network

Module detection on each condition-specific network, which is constructed from all samples but samples belonging to that condition

1 2	MIcondition(datExpr, conditionNames, ResultFolder, GeneNames, maxsize = 100, minsize = 30)

`datExpr`	gene expression profile, rows are samples and columns genes, rowname should contain condition specifier
`conditionNames`	character vector, each as the condition name
`ResultFolder`	where to store the clusters
`GeneNames`	normally the gene official names to replace the colnames of datExpr
`maxsize`	the maximal nodes allowed in one module
`minsize`	the minimal nodes allowed in one module