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Figure 4 | BMC Genomics

Figure 4

From: High-throughput sequencing of small RNA transcriptomes reveals critical biological features targeted by microRNAs in cell models used for squamous cell cancer research

Figure 4

Unsupervised 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.

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