Machine learning reveals genes impacting oxidative stress resistance across yeasts

Abstract excerpt

Reactive oxygen species (ROS) are highly reactive molecules encountered by yeasts during routine metabolism and during interactions with other organisms, including host infection. Here, we characterized the variation in resistance to ROS across the ancient yeast subphylum Saccharomycotina and used machine learning (ML) to identify gene families whose sizes were predictive of ROS resistance. The most predictive fea...

Topics

Open a Topic to create a Post that cites this publication.

• Gene Expression Regulation, Fungal
• Genetic Variation
• Genome, Fungal
• Genotype
• Machine Learning
• Phenomics
• Phenotype
• Saccharomyces cerevisiae

Identifiers and source

Literature Corpus work

7b957b89-31b3-5140-b822-45edddb551aa

DOI

10.1101/2024.08.14.607963