Comparison of ECO-K vs FitClone performance across various TNBC lineages.

The table summarizes the root mean squared error (RMSE), AICc, and BIC for both ECO-K and FitClone models. Each row represents an individual sample with column entries to denote replicate group (RG), the number of SPs in that replicate group, the number of non-zero interaction coefficients estimated by ECO-K, the number of those coefficients deemed significant during parametric bootstrapping, the mean absolute matrix entry value (payoff), the number of timepoints at which single-cell genomes were established, and at how many of those timepoints the sample had been exposed to cisplatin. Overall, ECO-K provided better fits (lower AICc and BIC) in two datasets, where FitClone was superior in two datasets. The remaining four datasets were unable to be analyzed by FitClone as it requires more than two SPs.