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Learning Representations for Image-Based Profiling of Perturbations - MPG Primer 2023
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- 1 Intro
- 2 Cell Painting assay
- 3 Image-based morphology profiling: introduction
- 4 Predicting assay-compound interaction
- 5 Predicting cell health phenotypes
- 6 Lung cancer variant impact prediction
- 7 Sources of features
- 8 Profiling cell state: classical features
- 9 Transfer learning: pre-trained CNNs
- 10 Weakly supervised learning (WSL)
- 11 Confounders for WSL
- 12 Single-cell classification results
- 13 Batch-correction with sphering
- 14 Perturbation selection
- 15 Combined Cell Painting dataset
- 16 Cell Painting CNN-1 training
- 17 Cell Painting CNN-1 performance
- 18 Effect of batch correction
- 19 Cell Painting CNN-1 qualitative analysis
- 20 Cell Painting CNN-1 availability
