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...

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Detalles Bibliográficos
Autores principales: Song, Junrong, Peng, Wei, Wang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
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

Internet

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

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