find.fci.targets {fCI} | R Documentation

## identify differentially expressed genes

### Description

identify differentially expressed genes

### Usage

    find.fci.targets(.Object, wt.indexes, df.indexes, data.file, use.normalization)

### Arguments

`.Object` | the fCI object
`wt.indexes` | The wild type sample column indexes in the matrix, i.e. 1,2
`df.indexes` | The diseases type sample column indexes in the matrix, i.e. 3,4
`data.file` | The expression matrix
`use.normalization` | boolean value whether you want the data to be normalized or not

### Details

TBD

### Value

`NA` | No values will be returned

### Note

TBD

### Author(s)

Shaojun Tang

### References

http://software.steenlab.org/fCI/

### See Also

TBD

### Examples

     fci=new("NPCI")
     fci.data=data.frame(matrix(sample(3:100, 1043*6, replace=TRUE), 1043,6))
     targets=find.fci.targets(fci, c(1,2,3), c(4,5,6), fci.data)
     head(show.targets(targets))

[Package fCI version 1.18.0 Index]