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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Detalles Bibliográficos
Autores principales: Chen, Tianhang, Wang, Xiangeng, Chu, Yanyi, Wang, Yanjing, Jiang, Mingming, Wei, Dong-Qing, Xiong, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541839/
https://www.ncbi.nlm.nih.gov/pubmed/33072049
http://dx.doi.org/10.3389/fmicb.2020.580382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541839/
https://www.ncbi.nlm.nih.gov/pubmed/33072049
http://dx.doi.org/10.3389/fmicb.2020.580382

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