CytoSummaryNet is a Deep Sets-based approach that uses self-supervised contrastive learning in a multiple-instance learning framework. Try it out! Paper: doi.org/10.1371/jour... Code: github.com/carpenter-si... With @johnarevalo.bsky.social @drannecarpenter.bsky.social Mehrtash Babadi 3/n

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

Excited to present our spotlight paper at #NeurIPS! MOTIVE is a new dataset + benchmark for predicting drug-target interactions, using Cell Painting data Location: Fri 13 Dec 4:30 p.m. PST @ East Exhibit Hall A-C #4208 Poster: neurips.cc/virtual/2024... Paper: arxiv.org/abs/2406.08649