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Thyroiditis and Thyroid Cancer: Bioinformatics Analysis of Gene Expression Data.

Szu-I YuYu-Kang ChangMeei-Ling SheuYao-Hsien Tseng
Published in: In vivo (Athens, Greece) (2024)
The results showed that all four genes (CXCR4, IL6ST, PPARG, TP53) were highly relevant to thyroiditis and thyroid cancer, thus making them worthy of further investigation to understand their relationship with these two diseases.
Keyphrases
  • gene expression
  • dna methylation
  • genome wide
  • electronic health record
  • big data
  • bioinformatics analysis
  • cell migration
  • transcription factor