DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy

Virulence factors (VFs) enable pathogens to infect their hosts. A wealth of individual, disease-focused studies has identified a wide variety of VFs, and the growing mass of bacterial genome sequence data provides an opportunity for computational methods aimed at predicting VFs. Despite their attrac...

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Bibliografiska uppgifter
I publikationen:Brief Bioinform
Huvudupphovsmän: Xie, Ruopeng, Li, Jiahui, Wang, Jiawei, Dai, Wei, Leier, André, Marquez-Lago, Tatiana T, Akutsu, Tatsuya, Lithgow, Trevor, Song, Jiangning, Zhang, Yanju
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2020
Ämnen:
Problem Solving Protocol
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC8138837/
https://ncbi.nlm.nih.gov/pubmed/32599617
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbaa125
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