Fig. 3: PTMNavigator aids in interpreting pathway enrichment analysis results.
A Overview of the kinases that were targeted with inhibitors in the study by Bekker-Jensen et al.32 B Results of gene-centric-redundant ssGSEA showing pathways with p-value < 0.05 for the 30 kinase inhibitor datasets. Pathways are sorted by the number of datasets in which they were reported as enriched (larger numbers on the bottom). Inhibitors are grouped by their designated targets. p-values were corrected for multiple testing using the Benjamini-Hochberg procedure. The plot was generated using Python. GCR: gene-centric redundant. C 10 highest-scoring pathways for the PKC inhibitor Go-6983 by gene-centric-redundant ssGSEA score. Circle size indicates the fraction of genes in the pathway contained in the set of regulations. The plot was generated using Python. D 10 highest-scoring pathways for the PKC inhibitor Go-6983 by absolute PTM-SEA score. Circle size indicates the fraction of genes in the signature that were contained in the set of regulations; color indicates the direction of regulation. The plot was generated using Python. Source data for (B, C, D) are provided as a Source Data file.
