  Phenotypic heterogeneity is a most fascinating property of a population of
cells, which shows the differences among individuals even with the same genetic
background and extracellular environmental conditions. However, the lack of
high-throughput analysis of phenotypic diversity has limited our research
progress. To deal with it, we constructed a novel parameter estimation method
in FACS-seq, a commonly used experimental framework, to achieve simultaneous
characterization of thousands of variants in a library. We further demonstrated
the model's ability in estimating the expression properties of each variant,
which we believe can help to decipher the mechanisms of phenotypic
heterogeneity.
