- 7 -
"Micro_Expr_Two_Conditions.txt")
, labelIndex = 1
, mapFile = "Mirnome_Map.txt"
, outFile = "Test_Output_Mirnome.txt"
, randomizeCount = 10)
The order of the two expression data files is important. As shown in the above
example, the first file should correspond to gene expression data and the second file
to microRNA expression data.
3.
Combining gene expression with a protein-protein interaction dataset –
Multiple conditions
identifySignificantHubs(exprFile = "Gene_Expr_Four_Conditions.txt"
, labelIndex = 1
, mapFile = "PPI_Map.txt"
, outFile = "Test_Output_PPI_Four_Cond.txt"
, randomizeCount = 10
, assocType = "FSTAT")
4.
Combining gene expression and microRNA expression data with a microRNA-
target interactome – Multiple conditions
If multiple conditions are to be evaluated for a combination of gene and microRNA
expression data, then the
exprFile
input parameter should contain two file names, as
shown in Example 2.
Note:
In the above examples we set randomizeCount=10 for quick execution. We note
that this parameter should be set to 1000 during an actual analysis. For an explanation of
the output files, refer Section 9.
Summary of Contents for GLSY22522
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