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Introducing effective genes in lymph node metastasis of breast cancer patients using SHAP values based on the mRNA expression data.

Sepideh Zununi VahedSeyed Mahdi Hosseiniyan KhatibiYalda Rahbar SaadatManijeh EmdadiBahareh KhodaeiMohammad Matin AlishaniFarnaz BoostaniSolmaz Maleki DizajSaeed Pirmoradi
Published in: PloS one (2024)
The prominent identified mRNAs including GDF5, BAHCC1, LCN2, FGF14-AS2, and IDH2, are implicated in lymph node metastasis. This study holds promise in elucidating a thorough insight into key candidate genes that could significantly impact the early detection and tailored therapeutic strategies for lymph node metastasis in patients with breast cancer.
Keyphrases
  • lymph node metastasis
  • squamous cell carcinoma
  • papillary thyroid
  • big data
  • electronic health record
  • low grade
  • machine learning
  • deep learning
  • genome wide identification
  • wild type