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Adversarial training improves model interpretability in single-cell RNA-seq analysis.

Mehrshad SadriaAnita LaytonGary D Bader
Published in: Bioinformatics advances (2023)
Our Python implementation of all analysis in this publication can be found at: https://github.com/MehrshadSD/robustness-interpretability. The analysis was conducted using numPy 0.2.5, pandas 2.0.3, scanpy 1.9.3, tensorflow 2.10.0, matplotlib 3.7.1, seaborn 0.12.2, sklearn 1.1.1, shap 0.42.0, lime 0.2.0.1, matplotlib_venn 0.11.9.
Keyphrases
  • rna seq
  • single cell
  • healthcare
  • primary care
  • high throughput
  • quality improvement