bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks.
Qizhi LiXubin ZhengJize XieRan WangMengyao LiMan-Hon WongKwong-Sak LeungShuai LiQingshan GengLixin ChengPublished in: Bioinformatics (Oxford, England) (2023)
The codes implementing bvnGPS are available at https://github.com/Ritchiegit/bvnGPS. The construction of iPAGE algorithm and the training of neural network was conducted on Python 3.7 with Scikit-learn 0.24.1 and PyTorch 1.7. The visualization of the results was implemented on R 4.2, Python 3.7, and Matplotlib 3.3.4.