Bioinformatics prediction and machine learning on gene expression data identifies novel gene candidates in gastric cancer

HIGHLIGHTS

• who: Medi Kori and Esra Gov from the Department of Bioengineering, Marmara University, Istanbul, Turkey have published the research work: Bioinformatics Prediction and Machine Learning on Gene Expression Data Identifies Novel Gene Candidates in Gastric Cancer, in the Journal: Genes 2022, 2233 of /2022/
• what: To translate Big Data into system-level biomarkers in this study the authors integrated three different GC gene expression data with three different biological networks for the first time and captured biologically significant (i.e. reporter) transcripts hub proteins transcription factors and receptor molecules of GC. With this study AES . . .
  

   

  

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