Figure 4From: High-throughput sequencing of small RNA transcriptomes reveals critical biological features targeted by microRNAs in cell models used for squamous cell cancer researchUnsupervised classification by principal components analysis of cancer and cancer-free samples. Principal components analysis (PCA) was used to classify 15 samples (8 cancer samples and 7 cancer-free samples) based on the expression profile of 193 miRNAs expressed in all samples. Sample 306 M was not included in this analysis due to its high heterogeneity. The PCA plot depicts 70% of variability in the dataset.Back to article page