The code provided is written in R and performs various analyses on tumor and normal expression data.

First, the code selects the tumor and normal samples from the metadata and expression data. It then creates a DESeqDataSet object using the DESeq2 package and performs differential expression analysis.

The code further performs gene set enrichment analysis using the clusterProfiler package. It retrieves gene symbols and performs enrichment analysis using the TCGAanalyze_EAcomplete and TCGAvisualize_EAbarplot functions. It also performs pathway analysis using the gage and pathview packages.

Finally, the code visualizes the results using volcano plots, cluster plots, cnetplots, and dotplots.

Note: The code seems to be incomplete and may require additional input or modifications to run successfully

#ѡtumor-metaTUMORmetadT - metadTnomormetadT == FALSE #ѡnormal-metanomormetadT - metadTnomormetadT == TRUE #ѡnormal-expression datanomordT - querydatasetnomormetadT$X1#ѡtumor-expression dataTUMORdT - q

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