Fig. 6: Statistical analysis of higher-order interactions establishes the existence of significant nonlinear associations between gene expression and cellular mechanics.
From: A computational pipeline for spatial mechano-transcriptomics
a, Analysis of nonlinear associations between gene expression and cellular pressure in dataset 2. The summary statistic used is the weighted median gene expression. For each gene, the association between this statistic and the cellular pressure ranking is tested. Significant (Padj < 0.1 by permutation test followed by BH adjustment) association profiles are z normalized and clustered. Line plots of the weighted-median expression z score against cellular pressure ranking are shown for selected clusters, along with bar plots showing GO overrepresentation analysis of genes in each cluster. Bottom: spatial gene expression maps for example genes with representative behaviors. GO terms are ranked according to P value by hypergeometric test and gene count. b, Analysis of nonlinear associations between gene expression and cellular stress tensor magnitude in dataset 2. The analysis was performed as for a. Line plots of the weighted-median expression z score against cellular pressure ranking are shown for selected clusters, along with bar plots showing GO overrepresentation analysis of genes in each cluster. Bottom: spatial gene expression maps for example genes with representative behaviors. GO terms are ranked according to P value by hypergeometric test and gene count.
