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iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes
Cancer results from the acquisition of somatic driver mutations. Several computational tools can predict driver genes from population-scale genomic data, but tools for analyzing personal cancer genomes are underdeveloped. Here we developed iCAGES, a novel statistical framework that infers driver var...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180414/ https://www.ncbi.nlm.nih.gov/pubmed/28007024 http://dx.doi.org/10.1186/s13073-016-0390-0 |