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Discovering Breast Cancer Biomarkers Candidates through mRNA Expression Analysis Based on The Cancer Genome Atlas Database.

Dong Hyeok KimKyung Eun Lee
Published in: Journal of personalized medicine (2022)
In total, 20 DE mRNAs had an area under cover of 0.9 or higher, demonstrating excellent diagnostic performance in breast cancer. Therefore, the results of this study will provide foundational data for planning preliminary studies to identify new tumor biomarkers.
Keyphrases
  • electronic health record
  • single cell
  • childhood cancer
  • big data
  • genome wide
  • adverse drug
  • binding protein
  • genome wide identification
  • deep learning