
Integrated Bioinformatics Analysis to Identify Abnormal Methylated Differentially Expressed Genes for Predicting Prognosis of Human Colon Cancer
Author(s) -
Yanbo Luo,
Fengkai Sun,
Xiaowen Peng,
Dong Dong,
Wentao Ou,
Yongke Xie,
Yuqi Luo
Publication year - 2021
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s324483
Subject(s) - kegg , nomogram , colorectal cancer , dna methylation , proportional hazards model , methylation , gene , carcinogenesis , biology , oncology , medicine , cancer , bioinformatics , computational biology , gene expression , genetics , transcriptome
To identify the value of key differentially expressed genes (DEGs) regulated by differentially methylated regions (DMRs) in predicting the prognosis of human colon cancer.