Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks

BACKGROUND: Advances in large-scale tumor sequencing have led to an understanding that there are combinations of genomic and transcriptomic alterations specific to tumor types, shared across many patients. Unfortunately, computational identification of functionally meaningful and recurrent alteratio...

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Detalles Bibliográficos
Autores principales: Hodzic, Ermin, Shrestha, Raunak, Zhu, Kaiyuan, Cheng, Kuoyuan, Collins, Colin C, Cenk Sahinalp, S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458499/
https://www.ncbi.nlm.nih.gov/pubmed/30978274
http://dx.doi.org/10.1093/gigascience/giz024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458499/
https://www.ncbi.nlm.nih.gov/pubmed/30978274
http://dx.doi.org/10.1093/gigascience/giz024

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