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A 100M-parameter foundation model for single-cell transcriptomics, enabling gene expression enhancement, drug response prediction, and perturbation analysis.
A large-scale foundation model pretrained on over 500,000 human bulk RNA-seq profiles for biomedical transcriptome analysis.
PyTorch implementation of twin graph neural networks with similarity augmentation for drug response prediction using protein-protein associations.
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