Machine learning enhances prediction of plants as potential sources of antimalarials.

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Resource type
Journal article
Creator (person)
Richard-Bollans, Adam
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Aitken, Conal
Antonelli, Alexandre
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Bitencourt, Cássia
Goyder, David
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Date published
May 25, 2023
Organisational unit
Science
Project(s)
Priority 4: Accelerated Taxonomy
Priority 5: Enhanced Partnerships
Priority 3: Digital Revolution
Priority 2: Trait Diversity and Function
Funder
Funder nameISNIAwards
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Switzerland
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PCEFP3_187012
Vetenskapsrådet, Sweden
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VR: 2019-04739 - 2019-05191
Stiftelsen för Miljöstrategisk Forskning, Sweden
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Research programme BIOPATH (F 2022/1448)
Royal Botanic Gardens, Kew, United Kingdom
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Journal title
Frontiers in Plant Science
Volume
14
Article number
1173328
Publisher
Frontiers Research Foundation
Place of publication
Lausanne, Switzerland
eISSN
1664-462X
Date accepted
April 20, 2023
Official URL
Rights statement
In Copyright
Licence
CC BY 4.0
DOI
Keywords
Additional information
IF = 6.627 (2022-2023)