CellCap
  • Introduction
  • Installation
  • Apply CellCap to simulation data
  • Apply CellCap to human monocytes data
  • Citation
CellCap
  • Welcome to CellCap’s documentation!
  • View page source

Welcome to CellCap’s documentation!

CellCap is a variational autoencoder to model correspondence between cellular identity and perturbation response.

_images/CellCap_logo.jpg
  • Introduction
    • What is CellCap?
    • Is CellCap right for your data?
    • What biological investigations do CellCap aim to address?
    • More information
  • Installation
    • Installation from source
    • Via pip (coming soon)
  • Apply CellCap to simulation data
    • Load packages
    • Prepare data for ready-to-use
    • Learning good basal state is critical for establishing correspondence between cellular identity and perturbation response
    • 1. Train CellCap without adversarial loss
    • 2. A small penalty on adversarial learning
    • 3. Keep the penalty on adversarial learning large
    • A structured outcome requires tuning penalty on automatic relevance determination
    • The right solution for this simulation data
  • Apply CellCap to human monocytes data
    • Load packages
    • Load a trained CellCap model
    • Visualize relationship of perturbations
    • Identify perturbation program of interest
    • Uncover the corresponded basal state
  • Citation
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