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Identification of a Set of Genes Improving Survival Prediction in Kidney Renal Clear Cell Carcinoma through Integrative Reanalysis of Transcriptomic Data.

Banlai RuanXianzhen FengXueyi ChenZhiwei DongQi WangKai XuJinping TianJie LiuZiyin ChenWenzhen ShiMan WangLu QianQianshan Ding
Published in: Disease markers (2020)
The gene expression model consisting of CDKL2, LRFN1, STAT2, and SOWAHB is a promising tool for predicting the prognosis of patients with KIRC. The results of this study may provide insights into the diagnosis and treatment of KIRC.
Keyphrases
  • gene expression
  • clear cell
  • bioinformatics analysis
  • dna methylation
  • electronic health record
  • single cell
  • genome wide
  • cell proliferation
  • rna seq
  • free survival
  • machine learning
  • deep learning