npci.gene.by.pvalues {fCI} | R Documentation |
identify the genes that change most significantly using inverse of log ratio the smaller the results, the more signficant the changes.
npci.gene.by.pvalues(npci.data, gene.indexes, ctr.indexes, trt.indexes)
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 |
TBD
pvalues |
a vector of pvalues |
TBD
Shaojun Tang
http://software.steenlab.org/fCI/
TBD
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)