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ABSTRACT: Background
The development of a disease is a complex process that may result from joint effects of multiple genes. In this article, we propose the overlapping group screening (OGS) approach to determining active genes and gene-gene interactions incorporating prior pathway information. The OGS method is developed to overcome the challenges in genome-wide data analysis that the number of the genes and gene-gene interactions is far greater than the sample size, and the pathways generally overlap with one another. The OGS method is further proposed for patients' survival prediction based on gene expression data.Results
Simulation studies demonstrate that the performance of the OGS approach in identifying the true main and interaction effects is good and the survival prediction
SUBMITTER: Wang JH
PROVIDER: S-EPMC6150983 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature