2021年11月9日 · Here we describe a new methodology, repeated measures ASCA+ (RM-ASCA+), and show how it can be used to model metabolic changes over time, and compare …

2021年11月9日 · Here we describe a new methodology, repeated measures ASCA+ (RM-ASCA+), and show how it can be used to model metabolic changes over time, and compare …

2017年6月21日 · This paper introduces 2 new methods, ASCA+ and APCA+, that allow, respectively, to extend the use of ASCA and APCA to unbalanced designs using several …

Here we describe a new methodology, repeated measures ASCA+ (RM-ASCA+), and show how it can be used to model metabolic changes over time, and compare metabolic changes between …

2023年6月23日 · RM-ASCA+ is a novel analytical framework that takes into account the inter-relatedness of the multiple outcomes and population heterogeneity. Here, the framework is …

This paper presents 2 new methods: ASCA+ and APCA+ that allow, respectively, to extend the use of ASCA and APCA to unbalanced designs. Those new methods rely on the principle of …

2021年11月9日 · Here we describe a new methodology, repeated measures ASCA+ (RM-ASCA+), and show how it can be used to model metabolic changes over time, and compare …

ANOVA simultaneous component analysis+ (ASCA+) is a statistical method which combines general linear models with principal component analysis, and provides a way to separate and …

方差分析 (ANOVA) 同步成分分析 (ASCA+) 和 Tucker3 张量分解的互补性在设计数据集上得到了证明。 我们展示了如何使用 ASCA+ 来 (a) 识别统计上足够的 Tucker3 模型；(b) 确定统计上重 …

2020年3月10日 · This paper has its roots in the GLM version of ASCA, called ASCA +, that leads to unbiased estimators of the factors' effects for unbalanced data. It is here extended by …