fCI.call.by.index: top level function call to find targets based on expression...

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

Description

top level function call to find targets based on expression data and control & case indexes

Usage

fCI.call.by.index(wt.indexes, df.indexes, data.file, use.normalization = FALSE, 
  npci=NULL, short.report=TRUE)

Arguments

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
npci	the fCI object
short.report	whether you want to have a report summary

Details

TBD

Value

rtable

A data frame of the detected targets

Note

TBD

Author(s)

Shaojun Tang

References

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

See Also

TBD

Examples

wt.indexes=1:2
df.indexes=3:4
data.file=data.frame(matrix(sample(3:100, 100*4, replace=TRUE), 100,4))
use.normalization=FALSE
npci=NULL
short.report=TRUE
fCI.call.by.index(wt.indexes, df.indexes, data.file, use.normalization, 
  npci, short.report)

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