Research Article
Identification of Differentially Expressed Genes in Cervical Cancer Patients by Comparative Transcriptome Analysis
Figure 1
Identification of gene signatures using microarray data analysis in cervical cancer. (a) Principal component analysis (PCA) of transcriptome data. Three-dimensional scatter plot represents the gene expression patterns between patients’ and control samples. (b) Hierarchical clustering displays differentially expressed genes in cervical squamous cell carcinoma. Red color indicates a high-level expression of genes (), and green color indicates the low-level expression of genes () with value < 0.05. (c) Distance plot shows frequencies of up- and downregulated genes in patients’ samples.
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