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Abstract PR006: Target discovery in rare cancers enabled by transcriptome-based virtual CRISPR screening
It is demonstrated that machine learning applied to transcriptomic data can uncover novel cancer vulnerabilities and actionable targets in individual tumors, even in the absence of functional screening, which may represent a scalable approach to advance precision oncology in rare and/or under-characterized cancer types.