Taking pictures of cells with a microscope, then extracting thousands of features from them is uncannily effective for quantifying cell state, esp. for genes and chemicals (e.g., Cell Painting). But we often average the rich single-cell data to simplify analysis. Can we do better? #bioML 🧪 1/n

Robert van Dijk (www.linkedin.com/in/robert-v-...) developed CytoSummaryNet – a simple strategy to learn an optimal way to aggregate single-cell features into population-level profiles, outperforming traditional averaging on tasks like mechanism-of-action prediction. 2/n