RFPDR: a random forest approach for plant disease resistance protein prediction
Background: Plant innate immunity relies on a broad repertoire of receptor proteins that can detect pathogens and trigger an effective defense response. Bioinformatic tools based on conserved domain and sequence similarity are within the most popular strategies for protein identification and charact...
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| Muut tekijät: | , |
| Aineistotyyppi: | article |
| Kieli: | englanti |
| Julkaistu: |
2022
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| Aiheet: | |
| Linkit: | https://hdl.handle.net/20.500.12008/43411 |
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