Achieve complete distinguishability of candidate regulatory network models from available RNA-seq data

Determine a unique regulatory network structure among the 13,824 candidate ordinary differential equation models describing interactions among eud-1, sult-1, and nhr-40 that is supported by RNA-seq data from wild type, eud-1 knockout, and sult-1 knockout experiments, thereby achieving complete distinguishability between candidate models.

Background

The authors fit a large library of 13,824 ODE models to RNA-seq data across three experimental conditions to infer network structure. While they identify shared features and model sets that fit the data, they report that the data do not permit a unique selection of a single model.

This unresolved question reflects the limits of inference under typical biological data regimes (limited sampling, noise, partially observed systems) and motivates further data collection or methodological advances to fully distinguish models.