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 1.18.0 Index]