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Identification of hub genes and diagnostic efficacy for triple-negative breast cancer through WGCNA and Mendelian randomization.

Yilong LinSongsong WangQingmo Yang
Published in: Discover oncology (2024)
We established a co-expression network using the WGCNA methodology to detect pivotal genes associated with TNBC. This finding holds promise for advancing the creation of pre-symptomatic diagnostic tools and deepening our comprehension of the pathogenic mechanisms involved in TNBC risk genes.
Keyphrases
  • bioinformatics analysis
  • genome wide
  • poor prognosis
  • genome wide identification
  • big data
  • binding protein
  • dna methylation
  • gene expression
  • machine learning
  • artificial intelligence