...
首页> 外文期刊>Journal of Bioinformatics and Computational Biology >Generation of synthetic data and experimental designs in evaluating interactions for association studies
【24h】

Generation of synthetic data and experimental designs in evaluating interactions for association studies

机译:在评估关联研究的相互作用时生成合成数据和实验设计

获取原文
获取原文并翻译 | 示例
           

摘要

Complex diseases, by definition, involve multiple factors, including genegene interactions and geneenvironment interactions. Researchers commonly rely on simulated data to evaluate their approaches for detecting high-order interactions in disease gene mapping. A publicly 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 set up to help users to build complex interaction models. Furthermore, by utilizing three three-locus models as an example, we have shown how realistic model parameters can be chosen in generating simulated data.
机译:从定义上讲,复杂疾病涉及多种因素,包括基因相互作用和基因环境相互作用。研究人员通常依靠模拟数据来评估他们检测疾病基因作图中高阶相互作用的方法。社区非常感兴趣的是一个公开可用的模拟程序来生成涉及复杂的遗传和环境相互作用的样本。我们已经开发了名为gs1.0的软件包,该软件包自发布以来已被广泛使用。在本文中,我们介绍了gs2.0的升级版本,该版本不仅继承了其生成实际基因型数据的功能,而且还提供了强大的功能和灵活性来模拟各种交互模型。除了独立版本外,还设置了用户友好的Web服务器,以帮助用户构建复杂的交互模型。此外,以三个三位元模型为例,我们展示了如何在生成模拟数据时选择现实的模型参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号