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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Bibliographic Details

Main Author:	Simón, Diego (author)
Other Authors:	Borsani, Omar (author), Filippi, Carla V. (author)
Format:	article
Language:	English
Published:	2022
Subjects:	Disease resistance Plant immunity Defense response Machine learning Random forest
Online Access:	https://hdl.handle.net/20.500.12008/43411
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