  Many studies used the Shannon entropy of transcriptome data to determine cell
dedifferentiation and differentiation. The collection of evidence has
strengthened the certainty that the transcriptome's Shannon entropy may be used
to quantify cellular dedifferentiation and differentiation. Quantifying this
cellular status is being justified, we propose the term liberality for the
quantitative value of cellular dedifferentiation and differentiation. In
previous studies, we must convert the raw transcriptome data into quantitative
transcriptome data through mapping, tag counting, assembling, and more
bioinformatic processing to calculate the liberality. If we could remove this
conversion step from estimating liberality, we could save computing resources
and time and remove technical difficulties in using the computer. In this
study, we propose a method of calculating cellular liberality without those
transcriptome data conversion processes. We could calculate liberality by
measuring the compression rate of raw transcriptome data. This technique,
independent of reference genome data, increased the generality of cellular
liberality.
