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A Bioinformatics Tool for Identifying Intratumoral Microbes from the ORIEN Dataset.

Cankun WangAnjun MaYingjie LiMegan E McNuttShiqi ZhangJiangjiang ZhuRebecca HoydCaroline E DravillasLary A RobinsonCarlos H F ChanYousef ZakhariaRebecca D DoddCornelia M UlrichSheetal HardikarMichelle L ChurchmanAhmad A TarhiniEric A SingerAlexandra P IkeguchiMartin D McCarterNicholas C DenkoGabriel TinocoMarium HusainNing JinAfaf E G OsmanIslam El JilanyAik Choon TanSamuel S ColemanLouis DenkoGregory M RiedlingerBryan Paul SchneiderDaniel J SpakowiczQin Manull null
Published in: Cancer research communications (2024)
Studying the tumor microbiome in high-throughput sequencing data is challenging because of the extremely sparse data matrices, heterogeneity, and high likelihood of contamination. We present a new deep learning tool, MEGA, to refine the organisms that interact with tumors.
Keyphrases
  • high throughput sequencing
  • deep learning
  • electronic health record
  • big data
  • risk assessment
  • single cell
  • drinking water
  • data analysis
  • gram negative
  • multidrug resistant