Processed Cell Painting Data for the LINCS Drug Repurposing Project
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Updated
Aug 4, 2022 - Jupyter Notebook
Processed Cell Painting Data for the LINCS Drug Repurposing Project
Library of Integrated Cellular Signatures L1000
L1000 peak deconvolution based on Bayesian analysis
Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap
Training VAE on LINCS dataset.
Phenomics perturbation profiling and MoA retrieval from morphological cell-painting profiles (UMAP + HDBSCAN + cosine similarity). POC: LINCS Cell Painting — recall@5 = 3.0× random baseline on 111 compounds across 20 MoA classes.
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