Figure 6.

Heatmap clustering according to the Enterotype of all subjects. (A) The heatmap clustering shown by the enterotype for each timepoint of the subjects Taxonomy level is Family, and Order is stated in front of it. Distance measure was performed by Pearson, clustering algorithm was performed by Average, and cluster samples were performed according to the experimental factor Enterotype. (B) Heatmap clustering divided by enterotype at each after timepoint of subjects Taxonomy level is Genus, and Family is specified in front of it. Distance measure was performed by Pearson, clustering algorithm was performed by Average, and cluster samples were performed according to the experimental factor Enterotype. Distance measure is a method of applying a parameter in the clustering input and measuring the distance between data points, and Pearson analysis is characterized by clustering together features or samples with similar behavior. Clustering algorithm means to measure the distance between clusters, and average connection is a method of calculating the average of the distances between all points in the cluster when measuring the distance between two clusters.