Fig. 3: Top features used to predict ROS resistance are enriched in genes involved in reductase activity and cell wall organization and biogenesis. | Nature Communications

Fig. 3: Top features used to predict ROS resistance are enriched in genes involved in reductase activity and cell wall organization and biogenesis.

From: Machine learning reveals genes impacting oxidative stress resistance across yeasts

Fig. 3: Top features used to predict ROS resistance are enriched in genes involved in reductase activity and cell wall organization and biogenesis.

A The top 20 important features for the Random Forest classifier in their ranked order. For each gene family, the orthogroup (OG) and a general description of the gene are listed. B, C The enriched gene ontology (GO) terms based on the (B) S. cerevisiae and (C) C. albicans orthologs in the important features with a minimum of 5 genes and an FDR < 0.001 based on Fisher’s exact test. D, E STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) networks using the orthologs from (D) S. cerevisiae and (E) C. albicans highlighting the number and diversity of genes involved in (i) cell wall organization and biogenesis, (ii) mannosyltransferase activity, and (iii) oxidoreductase activity. Source data are provided as a Source Data file.

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