Add to ORKGThe Cancer Genome Atlas Pan-Cancer Analysis Working Group collaborated on the Synapse software platform to share and evolve data, results and methodologies while performing integrative analysis of molecular profiling data from 12 tumor types. The group's work serves as a pilot case study that provides (i) a template for future large collaborative studies; (ii) a system to support collaborative projects; and (iii) a public resource of highly curated data, results and automated systems for the evaluation of community-developed models
The analysis of cancer omics data is a “classic” problem; however, it still remains challenging. Adv...
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
The Cancer Genome Atlas Pan-Cancer Analysis Working Group collaborated on the Synapse software platf...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas has culminated over a decade of work characterization over 11,000 tumors fro...
Cancer can exhibit different forms depending on the site of origin, cell types, the different forms ...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
PhDIt is imperative that the cancer research community has the means with which to effectively locat...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
International audienceRecent cancer genome studies on many human cancer types have relied on multipl...
The International Cancer Genome Consortium (ICGC) aims to catalog genomic abnormalities in tumors fr...
The analysis of cancer omics data is a “classic” problem; however, it still remains challenging. Adv...
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
The Cancer Genome Atlas Pan-Cancer Analysis Working Group collaborated on the Synapse software platf...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas has culminated over a decade of work characterization over 11,000 tumors fro...
Cancer can exhibit different forms depending on the site of origin, cell types, the different forms ...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
PhDIt is imperative that the cancer research community has the means with which to effectively locat...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
International audienceRecent cancer genome studies on many human cancer types have relied on multipl...
The International Cancer Genome Consortium (ICGC) aims to catalog genomic abnormalities in tumors fr...
The analysis of cancer omics data is a “classic” problem; however, it still remains challenging. Adv...
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...