Generic function to compute the proportion of differentially...

Estimation of proportion of differentially expressed genes. This estimation is based on a histogram of the p-values. More specifically, based on the horizontal line representing a uniform distribution based on the p value distribution between 0.5 and 1. This represents the hypothetical p value distribution arising just by chance. All genes with small p-values above this line reflect the expected number of differentially expressed genes not by chance.

1 | ```
propdegenescalculation(pValue)
``` |

`pValue` |
a vector of p-values |

Willem Talloen and Tobias Verbeke

1 2 3 4 5 6 7 8 9 | ```
if (require(ALL)){
data(ALL, package = "ALL")
ALL <- addGeneInfo(ALL)
ALL$BTtype <- as.factor(substr(ALL$BT,0,1))
tTestResult <- tTest(ALL, "BTtype")
histPvalue(tTestResult[,"p"], addLegend = TRUE)
propDEgenesRes <- propDEgenes(tTestResult[,"p"])
}
``` |

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