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Open Access
Peer-reviewed
Research Article
Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeasts
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Marie-Claire Harrison ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft
¶‡ These authors are co-first authors on this work.
Affiliation Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
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David C. Rinker ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft
¶‡ These authors are co-first authors on this work.
Affiliation Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
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Abigail L. LaBella,
Roles Data curation, Methodology, Resources, Writing – review & editing
Affiliations Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Kannapolis, North Carolina, United States of America, Center for Computational Intelligence to Predict Health and Environmental Risks (CIPHER), University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America
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Dana A. Opulente,
Roles Data curation, Methodology, Resources, Writing – review & editing
Affiliations Laboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America, Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
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John F. Wolters,
Roles Data curation, Resources
Affiliation Laboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
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Xiaofan Zhou,
Roles Data curation, Resources
Affiliation Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou, China
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Xing-Xing Shen,
Roles Data curation, Resources, Writing – review & editing
Affiliation Zhejiang Key Laboratory of Biology and Ecological Regulation of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou, China
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Marizeth Groenewald,
Roles Data curation, Methodology, Resources, Writing – review & editing
Affiliation Westerdijk Fungal Biodiversity Institute, Utrecht, The Netherlands
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Chris Todd Hittinger,
Roles Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing
Affiliation Laboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
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Antonis Rokas
Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – original draft
* E-mail: antonis.rokas@vanderbilt.edu
Affiliation Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
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Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeasts
- Marie-Claire Harrison,
- David C. Rinker,
- Abigail L. LaBella,
- Dana A. Opulente,
- John F. Wolters,
- Xiaofan Zhou,
- Xing-Xing Shen,
- Marizeth Groenewald,
- Chris Todd Hittinger,
- Antonis Rokas
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- Published: March 17, 2026
- https://doi.org/10.1371/journal.pgen.1012091