SCMG
1.0.2
  • Installation
  • Trained model parameters
  • Reference and tutorial datasets
  • Tutorials
    • Contents
      • Visualize the global cell state manifold
      • Zero-shot integration of scRNA-seq datasets
      • Project single-cell states onto the global cell state manifold
      • Conditioned generation of cell states
      • Predict causal genes for cell state transitions
      • Universal Decomposition of Perturbation Effects
      • Few-shot Prediction of Perturbation Effects
  • API
SCMG
  • Tutorials
  • View page source

Tutorials

Install the Jupyter notebook to run the tutorial notebooks:

$ conda install jupyter

Contents

  • Visualize the global cell state manifold
    • Visualize cell type distributions
    • Visualize gene expression patterns
  • Zero-shot integration of scRNA-seq datasets
  • Project single-cell states onto the global cell state manifold
    • Project a dataset of natural cell states
    • Project a dataset of transdifferentiation
  • Conditioned generation of cell states
    • Generation of cell types
    • Generation of continuous cell state trajectories
  • Predict causal genes for cell state transitions
  • Universal Decomposition of Perturbation Effects
    • Load and preprocess the perturb-seq dataset
    • Project perturbation effects onto the principal axes of cell state transitions
    • Grouping of perturbations into universal clusters
  • Few-shot Prediction of Perturbation Effects
    • Learn a universal embedding of perturbations
    • Few shot prediction
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