find.fci.targets: identify differentially expressed genes

In fCI: f-divergence Cutoff Index for Differential Expression Analysis in Transcriptomics and Proteomics

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))
  

fCI documentation built on Nov. 8, 2020, 6:53 p.m.