Development of an experiment-split method for benchmarking the generalization of a PTM site predictor: Lysine methylome as an example

Many computational classifiers have been developed to predict different types of post-translational modification sites. Their performances are measured using cross-validation or independent test, in which experimental data from different sources are mixed and randomly split into training and test se...

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Detalles Bibliográficos
Autores principales: Zou, Guoyang, Zou, Yang, Ma, Chenglong, Zhao, Jiaojiao, Li, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687584/
https://www.ncbi.nlm.nih.gov/pubmed/34879076
http://dx.doi.org/10.1371/journal.pcbi.1009682

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687584/
https://www.ncbi.nlm.nih.gov/pubmed/34879076
http://dx.doi.org/10.1371/journal.pcbi.1009682

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