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Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models
ELISL: early-late integrated synthetic lethality prediction in cancer
Benchmarking VAE latent features in downstream tasks for cancer related predictions
Interpretable classification of tumours through multiple instance learning and somatic mutations
Finding cancer genes in copy number data and insertional mutagenesis data
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