npci.gene.by.pvalues {fCI}R Documentation

find most signficantly change fCI targets

Description

identify the genes that change most significantly using inverse of log ratio the smaller the results, the more signficant the changes.

Usage

npci.gene.by.pvalues(npci.data, gene.indexes, ctr.indexes, trt.indexes)

Arguments

npci.data

a data frame containing non-zero numeric values (the data frame must contain more than one row and one column)

gene.indexes

the row ids of genes used for p-value calculation

ctr.indexes

The wild type sample column indexes in the matrix, i.e. 1,2

trt.indexes

The experimental sample column indexes in the matrix, i.e. 1,2

Details

TBD

Value

pvalues

a vector of pvalues

Note

TBD

Author(s)

Shaojun Tang

References

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

See Also

TBD

Examples


  npci.data=data.frame(matrix(sample(3:100, 100*4, replace=TRUE), 100,4))
  gene.indexes=sample(1:97, 25)
  ctr.indexes=c(1,2)
  trt.indexes=c(3,4)
  npci.gene.by.pvalues(npci.data, gene.indexes, ctr.indexes, trt.indexes)
  


[Package fCI version 1.20.0 Index]