Identification of differentially expressed miRNAs and RNAs by using The Cancer Genome Atlas (TCGA) miRNA set

In order to extraction of the differentially expressed genes (DEGs), several data set of the colorectal polyp and non-polyp sample miRNA expressions were downloaded from TCGA database. In total, 379 of 1883 miRNAs were differentially expressed in 459 Polyp and 5 non-polyp samples compared with normal samples.The raw data were analysis by statistical R software. The data had been normalized by Deseq package and PCA plot had drawn also by Deseq package. Finally by machine learning differentially expressed microRNAs between polyps and non-polyps has been done. After analysis data, top 10 of microRNAs had best p-value were chosen for pathway analysis.Pathway analysis was done by DIANA software. Results from analysis these pathways show that microRNAs up regulated are more involved to progressing of polyps to colorectal cancer and microRNAs down regulated not to progressing of polyps to colorectal cancer.