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Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning Nature Communications - Multi-omics integration is often limited by data sparsity and heterogeneity. Here, the authors develop MOSA, a method designed to augment DepMap cell line data to...

Thrilled to share our first dive into generative models, integrating 7 distinct omics to generate a complete Synthetic Cancer Dependency Map for +1,500 cancer cell lines! Excited for what’s ahead. rdcu.be/d1TgQ #GarnettLab #CMRI #ProCan #INESC-ID #IST @naturecomms.bsky.social

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