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Identification and Enrichment Analysis of Differentially Expressed Genes (DEGs)

DF Denggang Fu
BZ Biyu Zhang
SW Shiyong Wu
YZ Yinghua Zhang
JX Jingwu Xie
WN Wangbin Ning
HJ Hua Jiang
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The differentially expressed genes (DEGs) between the high- and low-risk groups were identified using the limma package (31). To better understand the functions of the DEGs in AML, we used the clusterProfiler package (22) for enrichment analysis, including the GO terms, including biological process (BP), molecular function (MF) and cellular component (CC), and KEGG pathways. The DEGs were clustered and a heatmap for them was generated via ClustVis (32).

Copyright and License information:  ©2021 Fu, Zhang, Wu, Zhang, Xie, Ning and Jiang
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