Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network

We report a novel computational method, RegNetDriver, to identify tumorigenic drivers using the combined effects of coding and non-coding single nucleotide variants, structural variants, and DNA methylation changes in the DNase I hypersensitivity based regulatory network. Integration of multi-omics...

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Detalles Bibliográficos
Autores principales: Dhingra, Priyanka, Martinez-Fundichely, Alexander, Berger, Adeline, Huang, Franklin W., Forbes, Andre Neil, Liu, Eric Minwei, Liu, Deli, Sboner, Andrea, Tamayo, Pablo, Rickman, David S., Rubin, Mark A., Khurana, Ekta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530464/
https://www.ncbi.nlm.nih.gov/pubmed/28750683
http://dx.doi.org/10.1186/s13059-017-1266-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530464/
https://www.ncbi.nlm.nih.gov/pubmed/28750683
http://dx.doi.org/10.1186/s13059-017-1266-3

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