The accuracy outcomes of ubiquitination site predictions for multiple species, encompassing.

<p>(a) A bar chart illustrating the accuracy (ACC) of the best-performing models for ubiquitination site prediction across ten species, highlighting model variations and species-specific performance differences.(b) A receiver operating characteristic (ROC) curve for the optimal models across t...

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Bibliographic Details
Main Author:	Junhao Liu (9250731) (author)
Other Authors:	Zeyu Luo (8209110) (author), Rui Wang (52434) (author), Xin Li (51274) (author), Yawen Sun (497320) (author), Zongqing Chen (21728652) (author), Yu-Juan Zhang (1745272) (author)
Published:	2025
Subjects:	Biochemistry Ecology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified latent feature representation identified across animals extracting lysine site dimensional latent representation div >< p deep learning model ubiquitination sites via predicting ubiquitination sites scarcity across species esm2 </ p shared key features key features esm2 features model interpretation ubiquitination prediction dependent features species prediction online webserver eup model enhanced cross com /</ biomedical research
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The accuracy outcomes of ubiquitination site predictions for multiple species, encompassing.

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