Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models

BACKGROUND: Genomic profiling of solid human tumors by projects such as The Cancer Genome Atlas (TCGA) has provided important information regarding the somatic alterations that drive cancer progression and patient survival. Although researchers have successfully leveraged TCGA data to build prognost...

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Detalles Bibliográficos
Autores principales: Zheng, Xingyu, Amos, Christopher I., Frost, H. Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574407/
https://www.ncbi.nlm.nih.gov/pubmed/33081688
http://dx.doi.org/10.1186/s12859-020-03791-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574407/
https://www.ncbi.nlm.nih.gov/pubmed/33081688
http://dx.doi.org/10.1186/s12859-020-03791-0

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