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Vast amounts of molecular data are being collected on tumor samples, which provide unique opportunities for discovering trends within and between cancer subtypes. Such cross-cancer analyses require computational methods that enable intuitive and interactive browsing of thousands of samples based on their molecular similarity. We created a portal called TumorMap to assist in exploration and statistical interrogation of high-dimensional complex "omics" data in an interactive and easilydoi:10.1158/0008-5472.can-17-0580 pmid:29092953 pmcid:PMC5751940 fatcat:tini6vfrnvah3ayszbv2dyhyby