作者
Yuping Zhang, M Henry Linder, Ali Shojaie, Zhengqing Ouyang, Ronglai Shen, Keith A Baggerly, Veerabhadran Baladandayuthapani, Hongyu Zhao
发表日期
2018/4/1
期刊
Statistics in Biosciences
卷号
10
期号
1
页码范围
86-106
出版商
Springer US
简介
Complex diseases such as cancers usually result from accumulated disturbance of pathways instead of the disruptions of one or a few major genes. As opposed to single-platform analyses, it is likely that integrating diverse molecular regulatory elements and their interactions can lead to more insights on pathway-level disturbances of biological systems and their potential consequences in disease development and progression. To explore the benefit of pathway-based analysis, we focus on multi-platform genomics, epigenomics, and transcriptomics (-omics, for short) from 11 cancer types collected by The Cancer Genome Atlas project. Specifically, we use a well-studied oncogenic pathway, the BRAF pathway, to investigate the relevant copy number variants (CNVs), methylations, and gene expressions, and quantify their effects on discovering tumor-specific aberrations across multiple tumor lineages. We …
引用总数
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