介绍

在微生物组分析实验中，根据连续型和二分型结果来确定细菌分类群的平衡情况已成为一个日益常见的分析目标。SurvBal 能够根据删失生存或时间至事件的结果来选择平衡情况，这在许多生物医学研究中具有相当大的意义。该软件包包含了最常用的生存模型——Cox 比例风险模型和参数化生存模型，它们与逐步选择程序结合使用，以确定微生物组的最佳相关平衡情况，即两组分类群相对丰度的几何平均值之比。

Identification of balances of bacterial taxa in relation to continuous and dichotomous outcomes is an increasingly frequent analytic objective in microbiome profiling experiments. SurvBal enables the selection of balances in relation to censored survival or time-to-event outcomes which are of considerable interest in many biomedical studies. The most commonly used survival models—the Cox proportional hazards and parametric survival models are included in the package, which are used in combination with step-wise selection procedures to identify the optimal associated balance of microbiome, i.e. the ratio of the geometric means of two groups of taxa’s relative abundances.

代码

https://github.com/yinglia/SurvBal

案例

https://yinglia.github.io/SurvBal-Vignette/

参考

• SurvBal: compositional microbiome balances for survival outcomes