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Identification of genes and pathways associated with menopausal status in breast cancer patients using two algorithms.

Minzhang ChengLingchen WangYanlu XuanZhenyu Zhai
Published in: BMC women's health (2024)
We identified DEGs associated with menopausal status in breast cancer patients. The association of these genes with several key pathways may promote understanding of the complex characterizations of breast cancer. Our findings offer valuable insights for developing new therapeutic strategies tailored to the menopausal status of breast cancer patients.
Keyphrases
  • bioinformatics analysis
  • genome wide
  • machine learning
  • deep learning
  • gene expression
  • genome wide identification
  • young adults
  • smoking cessation