Figure 2. Unsupervised clustering of SCLC cells by gene expression using the CGP dataset.

Unsupervised consensus clustering was performed using all 31 cell lines (only 27 had gene expression data available; 3 of them are duplicates and the average values were obtained for further analysis) and showed that 3 clusters was optimal for this dataset. With this assignment, non-parametric one way ANOVA (Kruskal-Wallis test p-value<0.05) was performed on these 3 clusters and 1006 significant genes were obtained. The heatmap was generated with these significant genes.