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Accuracy of the Second Cumulant Expansion (SCE) for real lineage data

Ascertain the accuracy of the Second Cumulant Expansion (SCE) approximation when estimating the population growth rate Λ from real single-cell lineage datasets using the fixed-divisions ensemble, and determine the conditions under which SCE is valid or fails for non-Gaussian or correlated generation-time statistics.

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Background

The SCE is exact when the large-deviation rate function of the lineage first-passage time TnT_n is quadratic (i.e., Gaussian statistics), yielding a closed-form expression for Λ. However, real generation-time distributions and correlations may deviate from Gaussian assumptions.

The authors highlight that for real data the accuracy of SCE is not known a priori and provide a counterexample where SCE fails, underscoring the need to establish validity criteria for its application to experimental datasets.

References

Since this formula is exact when the large deviation rate function is quadratic, and thus the statistics of T_n are Gaussian, we call it the Second Cumulant Expansion (SCE). However, for real data, the accuracy of this approximation is not known a priori.

Extremal events dictate population growth rate inference (2501.08404 - GrandPre et al., 14 Jan 2025) in Appendix: Derivation of the population growth rate of the simulation model (Section "Derivation of the population growth rate of the simulation model SCE")