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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...

詳細記述

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書誌詳細
出版年:BMC Bioinformatics
主要な著者: Zheng, Xingyu, Amos, Christopher I., Frost, H. Robert
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7574407/
https://ncbi.nlm.nih.gov/pubmed/33081688
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03791-0
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