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OncoLand accelerates cancer-focused target discovery by providing access
to manually-curated and unified multi-omics datasets from consortia like
TCGA, TARGET, GTEx, CCLE, and thousands of curated studies with expression data,
extensive sample-level metadata, and precomputed comparisons from each study
revealing differential expression between Treated vs Control, Disease vs Normal,
Responder vs Non-Responder, and more. Learn how to harness visualizations and
powerful filters generate custom comparisons within and between omics data types,
and export custom datasets to answer advanced omics-related questions.
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