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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 Cheng
Published 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.
Keyphrases
  • neural network
  • liver failure
  • respiratory failure
  • single cell
  • aortic dissection
  • drug induced
  • quality improvement
  • extracorporeal membrane oxygenation