find.fci.targets {fCI} | R Documentation |
identify differentially expressed genes
find.fci.targets(.Object, wt.indexes, df.indexes, data.file, use.normalization)
.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 |
TBD
NA |
No values will be returned |
TBD
Shaojun Tang
http://software.steenlab.org/fCI/
TBD
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))