A machine learning framework develops a dna replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer

HIGHLIGHTS

  • who: Rong-Hua Huang from the Department of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China have published the article: A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer, in the Journal: (JOURNAL)
  • what: The model with the highest average metrics was considered optimal.
  • how: For RNA sequencing data the authors used log2(transcripts per million + 1) as the expression levels of mRNA while for raw expression data from microarrays the authors performed background adjustment and normalization using . . .

     

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