Analysis of expression patterns and mutation characteristics of PCD-related genes

YS Yuanxin Shi
YF Yunxiang Feng
PQ Peng Qiu
KZ Kai Zhao
XL Xiangyu Li
ZD Zhengdong Deng
JW Jianming Wang
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The “limma” package was employed to identify differentially expressed genes (DEGs) with these criteria of p < 0.05 and |log2FC| > 1. A univariate Cox analysis was performed to identify prognostic genes, which were used in subsequent analyses. Mutation characteristics of prognostic PCD genes were described using the “mafTools” package. The copy number variation (CNV) characteristics of these genes were visualized through the GISTIC algorithm and the “RCircos” package.

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