I would play around with PCA (PCATools is a fun program in R), look for the PCs that separates the samples according to serially changing time and look at the PCA loadings for those particular PCs!
Tool Technique Tuesday. Data visualisation is key to identify potential batch effects and eventual interpretation of the results. One way is to project multiple dimensional data onto a 2D plot, PCA/MDS with #rstats tool by @KevinBlighe PCATools. bioconductor.org/packages/re…
yeah I remember I used that! Lots of packages are using #ggplotify , like #PCAtools by @KevinBlighe . Also - I just came across #cowplotwilkelab.org/cowplot/index.h… it offers different ggplot2 theme customization as well - looks interesting!!