expressionComp {miRcomp} | R Documentation |
This function allows one to easily compare the expression estimates generated by two different algorithms. Feature / sample combinations that differ above a given threshold can be easily highlighted.
expressionComp(object1, qcThreshold1, object2, qcThreshold2, label1=NULL, label2=NULL, diffThreshold=2, plotType=c("scatterplot","MAplot"))
object1 |
a list containing two elements: ct (the expression estimates) and qc (quality scores) |
qcThreshold1 |
a numeric threshold corresponding to object1$qc below which values are considered low quality. |
object2 |
a list containing two elements: ct (the expression estimates) and qc (quality scores) |
qcThreshold2 |
a numeric threshold corresponding to object2$qc below which values are considered low quality. |
label1 |
an optional label for plotting on the x-axis |
label2 |
an optional label for plotting on the y-axis |
diffThreshold |
feature / sample combinations for which the expression estimates differ by more than this value are returned by the function and highlighted in the plot. |
plotType |
scatterplot or MA-plot |
This function plots the expresison estimates produced by two different methods. Feature / sample combinations for which the expression estimates differ by more than diffThreshold are returned by the function and highlighted in the plot.
Matthew N. McCall
data(lifetech) data(qpcRdefault) tmp <- expressionComp(object1=lifetech, qcThreshold1=1.25, object2=qpcRdefault,qcThreshold2=0.99,plotType="scatter")