Machine learning enhances prediction of plants as potential sources of antimalarials.
Name
fpls-14-1173328.pdf
Description
visibility:open
Size
4.52 MB
Format
Adobe PDF
Checksum (CRC64NVME)
nGx+xZDvmpM=
Resource type
Journal article
Creator (person)
Date published
May 25, 2023
Project(s)
Priority 4: Accelerated Taxonomy
Priority 5: Enhanced Partnerships
Priority 3: Digital Revolution
Priority 2: Trait Diversity and Function
Funder
| Funder name | Awards |
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Switzerland | PCEFP3_187012 |
Vetenskapsrådet, Sweden | VR: 2019-04739 - 2019-05191 |
Stiftelsen för Miljöstrategisk Forskning, Sweden | Research programme BIOPATH (F 2022/1448) |
Royal Botanic Gardens, Kew, United Kingdom | |
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
Additional information
IF = 6.627 (2022-2023)