School of Electrical Engineering, Korea University, Seoul, South Korea.
Department of Business Administration, University of Seoul, Seoul, South Korea.
Bioinformatics. 2018 Jul 1;34(13):2305-2307. doi: 10.1093/bioinformatics/bty111.
Despite the potential usefulness, the association analysis of gene expression with interval times of two events has been hampered because the occurrence of events can be censored and the conventional survival analysis is not suitable to handle two censored events. However, the recent advances of multivariate survival analysis considering multiple censored events together provide an unprecedented chance for this problem. Based on such advances, we have developed a software tool, GAIT, for the association analysis of gene expression with interval time of two events.
The performance of GAIT was demonstrated by simulation studies and the real data analysis. The result indicates the usefulness of GAIT in a wide range of biomedical applications.
http://cdal.korea.ac.kr/GAIT/index.html.
Supplementary data are available at Bioinformatics online.
尽管具有潜在的用途，但由于事件的发生可能会被删失，且传统的生存分析不适用于处理两个删失事件，因此，基因表达与两个事件之间的区间时间的关联分析一直受到阻碍。然而，考虑到多个删失事件的多元生存分析的最新进展为这个问题提供了前所未有的机会。在此基础上，我们开发了一个软件工具 GAIT，用于分析基因表达与两个事件之间的时间间隔的关联。
通过模拟研究和实际数据分析证明了 GAIT 的性能。结果表明 GAIT 在广泛的生物医学应用中具有实用性。
http://cdal.korea.ac.kr/GAIT/index.html。
补充数据可在 Bioinformatics 在线获取。
