Recent advances in machine learning have enabled researchers to develop a new approach to studying the response of fungal genes to environmental changes. By combining machine learning with high-throughput genomic data, researchers have been able to identify key genes and pathways that can be used to predict how a fungal species will respond to changes in its environment. This new approach has the potential to provide insight into how fungi can interact with their environment, and may even lead to the development of new strategies for controlling fungal diseases.

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source: Phys.org