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DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph.

Chenye WangJunhan ShiJiansheng CaiYu-Sen ZhangXiaoqi ZhengNaiqian Zhang
Published in: BMC bioinformatics (2022)
DriverRWH is effective among various cancer types in prioritizes cancer driver genes and provides considerable improvement over other tools with a better balance of precision and sensitivity. It can be a useful tool for detecting potential driver genes and facilitate targeted cancer therapies.
Keyphrases
  • papillary thyroid
  • squamous cell
  • lymph node metastasis
  • squamous cell carcinoma
  • gene expression
  • childhood cancer
  • young adults
  • cancer therapy
  • transcription factor
  • neural network