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Inference Methods for High-Throughput CRISPR Screens - CGSI 2022
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- 1 Intro
- 2 How can so many genes contribute to complex traits?
- 3 Upstream regulators can be inferred by perturbations
- 4 Fluorescence activated cell sorting (FACS) + CRISPR enable high-throughput gene expression screening
- 5 Review of setup from the computational side
- 6 Start with the question
- 7 We have unique data - let's think carefully
- 8 Multiple guides target the same gene and thus should be correlated
- 9 What is my sampling distribution?
- 10 The model is a form of density estimation with overdispersion
- 11 Our updated model links the unobserved reported to the sampling distribution
- 12 Our new model incorporates sparsity at the gene- level
- 13 Hierarchical model enables accurate inference with few samples
