Integrative modeling of multi-omics data to identify cancer drivers and infer patient-specific gene activity

BACKGROUND: High throughput technologies have been used to profile genes in multiple different dimensions, such as genetic variation, copy number, gene and protein expression, epigenetics, metabolomics. Computational analyses often treat these different data types as independent, leading to an explo...

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Detalles Bibliográficos
Autores principales: Pavel, Ana B., Sonkin, Dmitriy, Reddy, Anupama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750289/
https://www.ncbi.nlm.nih.gov/pubmed/26864072
http://dx.doi.org/10.1186/s12918-016-0260-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750289/
https://www.ncbi.nlm.nih.gov/pubmed/26864072
http://dx.doi.org/10.1186/s12918-016-0260-9

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