Article

Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits

2023-04-12

Abstract excerpt

Invasive plant pathogenic fungi have a global impact, with devastating economic and environmental effects on crops and forests. Biosurveillance, a critical component of threat mitigation, requires risk prediction based on fungal lifestyles and traits. Using a machine learning approach that separates phylogenetic and genomic feature signals, we analyzed 387 fungal genomes to test the hypothesis that there are predi...

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Literature Corpus work: a377f82e-294e-5cd9-bf47-dcbcc9e246d4
DOI: 10.21203/rs.3.rs-2778162/v1

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