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T4SE-XGB: Interpretable Sequence-Based Prediction of Type IV Secreted Effectors Using eXtreme Gradient Boosting Algorithm

Type IV secreted effectors (T4SEs) can be translocated into the cytosol of host cells via type IV secretion system (T4SS) and cause diseases. However, experimental approaches to identify T4SEs are time- and resource-consuming, and the existing computational tools based on machine learning techniques...

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Uloženo v:
Hlavní autoři: Tianhang Chen, Xiangeng Wang, Yanyi Chu, Yanjing Wang, Mingming Jiang, Dong-Qing Wei, Yi Xiong
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2020-09-01
Edice:Frontiers in Microbiology
Témata:
type IV secreted effector
feature secelction
extreme gradient boosting
interpretable analysis
SHAP (SHapley additive exPlanations)
On-line přístup:https://www.frontiersin.org/article/10.3389/fmicb.2020.580382/full
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