Hi,

When I try to call the function getZSCores on my 4C data (mouse) I got the following error:

> data_fcf <- getZScores(data_fc,minCount=10,fitFun=distFitMonotone)

[1] "VP1"

gene-wise dispersion estimates

mean-dispersion relationship

NOTE: fitType='parametric', but the dispersion trend was not well captured by the

function: y = a/x + b, and a local regression fit was automatically substituted.

specify fitType='local' or 'mean' to avoid this message next time.

final dispersion estimates

Error in getZScores(data_fc, minCount = 10, fitFun = distFitMonotone) :

Failed to estimate the parameters of the Variance stabilizing transformation.

Looking at the code it seems due to the fact that parametric fit did not work so he stopped after that.

Is it not possible to go further in the analysis with a local fit?

Hi Wolfgang, Im getting a similar error: Error in getZScores(data, removeZeros= TRUEminCount = 30, fitFun = distFitMonotoneSymmetric) : Failed to estimate the parameters of the Variance stabilizing transformation However I only get it while making certain comparisons between my experimental groups. I have 4 groups and I have been able to analyze them between some of the conditions (the four groups) but in some comparisons I get that error. What could be happening? Best regards! Fernando