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. 2023 Jan 16;3(1):100392. doi: 10.1016/j.crmeth.2022.100392

Figure 2.

Figure 2

Performance comparison between SparseGMM and AMARETTO at different regularization values

Comparison shown for TCGA HCC (A–D) and GTEx (E–H) liver data.

(A and E) Robustness of clustering is evaluated using adjusted Rand index.

(B and F) Validation of regulators is represented by R-squared.

(C and G) Degree of sparsity is evaluated using statistics on the number of drivers.

(D and H) Module size informs the choice of regularization parameter value.

See also Figure S1 and S2 and Table S1.