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Fungal Pathogen Gene Selection for Predicting the Onset of Infection Using a Multi-Stage Machine Learning Approach

2023-09-28

Abstract excerpt

Phytopathogenic fungi pose a serious threat to global food security. Next-generation sequencing technologies, such as transcriptomics, are increasingly used to profile infection, assess environmental adaptation and gauge host-responses. The accumulation of these large-scale data has created the opportunity to employ new computational methods to gain greater biological insights. Machine learning approaches, that le...

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Identifiers and source

Literature Corpus work
c23f70f7-d27d-508f-a8b3-ccd9431e7ca8
DOI
10.1101/2023.09.26.559518
Open publication

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Fungal Pathogen Gene Selection for Predicting the Onset of Infection Using a Multi-Stage Machine Learning ApproachDOI 10.1101/2023.09.26.559518
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