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Statistics and landscape![]() ![]() ![]() ![]() ![]() ![]() The x-axis shows the number of edited tumor samples, and the y-axis represents the editing events and their host tumor genes. ![]() ![]() ![]() ![]() The x-axis shows the log(p) value, and the y-axis represents the editing events and their host tumor genes. The size of each dot denotes the differences of editing frequencies. The red and green dots represent tumor- or normal-specific RNA editing events. ![]() ![]() ![]() ![]() The x-axis shows the log(p) value, and the y-axis represents the editing events and their host tumor genes. The size of each dot denotes the correlation coefficients. The red and green dots represent positive or negative stage-associated RNA editing events. ![]() ![]() ![]() ![]() The x-axis shows the log(p) value, and the y-axis represents the editing events and their host tumor genes. The size of each dot denotes –log(p) value. The red and green dots represent high (HR>1) or low (HR<1) risk survival associated RNA editing events. ![]() ![]() ![]() ![]() The x-axis shows the log(p) value, and the y-axis represents the editing events and their host tumor genes. The size of each dot denotes the logFC value. The red and green dots represent significantly high/low gene expressions due to RNA editing events. ![]() ![]() ![]() ![]() The enrichment KEGG results for the overlapped DEGs for each cancer type. The pathways colored with orange are tumor-related pathways shown in below table2. ![]() ![]() ![]() ![]() The influence of RNA editing on Protein. (a) RNA editing will lead to the changes of protein sequence. (b) RNA editing may affect protein functions. (c) RNA editing may affect protein function of tumor-related genes. ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
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