Data-driven discovery and parameter estimation of mathematical models in biological pattern formation
Fig 9
Comparison of dimensional reduction of similar patterns.
(A) Distribution of patterns in Uniform Manifold Approximation and Projection (UMAP) feature space. (B) Distribution of patterns in contrastive learning feature space. (C-E) Examples of Turing patterns and predicted posterior distributions for (fv = 0.6735, gv = 0.9376) (Red points in (A-B)): (C) pattern examples, (D) UMAP-based dimensionality reduction, (E) contrastive learning-based dimensionality reduction. (F-H) Examples of Turing patterns and predicted posterior distributions for (fv = 0.650 and gv = 0.9817) (Blue points in (A-B)): (F) pattern examples, (G) UMAP-based dimensionality reduction, (H) contrastive learning-based dimensionality reduction.