This function can be used to check potential outliers (e.g. a few exramly highly expressed genes) in transcriptome.
Since Transcriptome Index is weigthed mean, it could be easily affectd by outliers. So, we have to check potential outliers in the transcriptome data.
Because log or sqrt trandformation can alleviate the effect of outliers, if there are some outliers, we could see the confidence intervals (genetated by bootstrapping)
from non-trandformed expression data are much higher and more variable than from log or sqrt trandformed expression data.
In order to compare the range of confidence intervals in the same scale, we plotted the ratio of upper to lower confidence interval boundary across development.