Question

Principal Coordinate (PC) analysis plots are a tool that can provide information on the similarities and differences between microbiome samples. True False

Answer 1

TRUE

As we know that Microbiome has a lot of data such as trees ,birds,other animals groups seperated by some distances one so on. So here matrix of such physical data is possible and so Microbiome samples can be distinguished and PCA can be done taking similarities or dissimilarities.

What is PCA(PRINCIPAL COORDINATE ANALYAIS)?

This PCA is also known as multidimension scaling. A statstical method is used to explore similarities in data set.

It refers to a set of related ordinates techniques used in information visualization, in particular to display the information contained in distant matrix.

MDS algorithms fall into a taxonomy, depending on the meaning of input matrix.

For example --

We can take example of Human micro biome analysis in which we can take thus PCA tool used for visualization of data present in Beta diversity distant matrix in the form of 2D or 3D coordinates. It is being widely used in vegetation ecology.