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Functionally Enigmatic Genes in Cancer: Using TCGA Data to Map the Limitations of Annotations
Cancer is a comparatively well-studied disease, yet despite decades of intense focus, we demonstrate here using data from The Cancer Genome Atlas that a substantial number of genes implicated in cancer are relatively poorly studied. Those genes will likely be missed by any data analysis pipeline, su...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7057977/ https://ncbi.nlm.nih.gov/pubmed/32139709 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-60456-x |
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