Fig. 4
From: An interpretable framework for clustering single-cell RNA-Seq datasets
Exploratory analysis on Patel et al. dataset. a DendroSplit is evaluated on Patel et al.’s dataset of 430 cells, 5948 features (genes) from five primary human glioblastomas [7]. Gene expression is quantified using TPM. The split and merge thresholds are 20 and 15, respectively, and the analysis takes 9.64 seconds to run. The numbers in the legends represent the number of points in the corresponding clusters. For the split step, the names of the clusters are generated based on the position of the subtrees in the dendrogram. “r” represents the root node, and “rRL” represents the subtree found at the left child of the right child of the root. b We can evaluate how cells were partitioned at each step of the split procedure, and DendroSplit can also show us the within-cluster distributions of the gene that validates the split. c We can also evaluate how clusters obtained after the split step were combined during the merge procedure, and DendroSplit can show us the distributions of the most distinguishing gene between two merged clusters