AI/ML Subgroup for Genetic Perturbation Predictive Modeling (GPPM)

Thank you Lauren, will look into them!

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@liamfj17 just came across this paper published last week - Pertpy: an end-to-end framework for perturbation analysis | Nature Methods

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I love pertpy! I wrote some pipelines that incorporate it. It’s super flexible for all kinds of things – CRISPR, experimental conditions, Perturb-seq, etc.

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Members of this subgroup might appreciate this: Engine | Discover Gene Insights Today β€” PerturbAI
Full mode: perturbai/wholebrain_crispr_atlas Β· Datasets at Hugging Face
Preprint: https://www.biorxiv.org/content/10.64898/2026.03.16.711480v1

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This could be a useful paper on what types of representations work for encoding perturb seq responses and why current models struggle: What Makes a Representation Good for Single-Cell Perturbation Prediction?

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