High-content imaging-based screens with small molecule or genetic perturbations rely on rich optical phenotypes, yet how distinct subcellular markers contribute complementary biological information remains unclear. Here, we introduce CellMAPP, a multiplexed organelle imaging platform that uses optical pooled screens wi...
Paula Coelho, Ana Carolina Leote, He-Ming Yao et al.· bioRxiv· 0 citations
A data-driven procedure is presented to locate real-world datasets in this diagram using a small labeled subsample, identifying the preferred objective and prediction direction before any cross-modal training, and identifying when no objective in the CA/CP family can improve on the stronger modality alone.
Ilay Kamai, Hugues Van Assel, Aviv Regev et al.· arXiv.org· 1 citation
Perturb-ME, along with agentic interpretation, provide a scalable framework for comprehensive functional discovery from phenotype-enriched genetic screens and combines genome-scale CRISPR screening, phenotype-based enrichment and multimodal single-cell profiling.
Han-Chen Wang, Jiacheng Gu, Chris J. Frangieh et al.· bioRxiv· 0 citations
Biomni envisions artificial intelligence augmenting human scientists and accelerating discovery by interpreting multi-modal datasets, optimizing protein stability, orchestrating wet-lab instruments, and generating experimentally testable protocols.
Kexin Huang, Serena Zhang, Hanchen Wang et al.· Science· 19 citations· ⚡2
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