| Autor: |
Xiang S; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill., Zhang W; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill., Liu S; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill.; Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill.; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill., Hoadley KA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill.; Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill.; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill., Perou CM; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill.; Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill.; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill., Zhang K; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill., Marron JS; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill.; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill.; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill. |
| Abstrakt: |
In The Cancer Genome Atlas (TCGA) data set, there are many interesting nonlinear dependencies between pairs of genes that reveal important relationships and subtypes of cancer. Such genomic data analysis requires a rapid, powerful and interpretable detection process, especially in a high-dimensional environment. We study the nonlinear patterns among the expression of pairs of genes from TCGA using a powerful tool called Binary Expansion Testing. We find many nonlinear patterns, some of which are driven by known cancer subtypes, some of which are novel. |
