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A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph
BACKGROUND: Cancer as a worldwide problem is driven by genomic alterations. With the advent of high-throughput sequencing technology, a huge amount of genomic data generates at every second which offer many valuable cancer information and meanwhile throw a big challenge to those investigators. As th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518800/ https://www.ncbi.nlm.nih.gov/pubmed/31088372 http://dx.doi.org/10.1186/s12859-019-2847-9 |