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- W2149046823 abstract "Complex diseases, by definition, involve multiple factors including gene-gene interactions and gene-environment interactions. Researchers commonly rely on simulated data to evaluate their approaches for detecting high-order interactions in disease gene mapping. A publically available simulation program to generate samples involving complex genetic and environmental interactions is of great interest to the community. We have developed a software package named gs1.0, which has been widely used since its publication. In this article, we present an upgraded version gs2.0, which not only inherits its capacity to generate realistic genotype data, but also provides great functionality and flexibility to simulate various interaction models. In addition to a standalone version, a user-friendly web server has been setup to help users to build complex interaction models. Data generated by gs2.0 can serve as a common ground to compare different approaches in detecting interactions. The software can be accessed at http://cbc.case.edu/gs." @default.
- W2149046823 created "2016-06-24" @default.
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- W2149046823 date "2011-08-01" @default.
- W2149046823 modified "2023-09-24" @default.
- W2149046823 title "Generation of synthetic data in evaluating interactions for association studies" @default.
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- W2149046823 doi "https://doi.org/10.1145/2147805.2147844" @default.
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