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Identification of candidate cancer drivers by integrative Epi-DNA and Gene Expression (iEDGE) data analysis
The emergence of large-scale multi-omics data warrants method development for data integration. Genomic studies from cancer patients have identified epigenetic and genetic regulators – such as methylation marks, somatic mutations, and somatic copy number alterations (SCNAs), among others – as predic...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858347/ https://www.ncbi.nlm.nih.gov/pubmed/31729402 http://dx.doi.org/10.1038/s41598-019-52886-z |