A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort

REQUITE Consortium

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number541281
Number of pages15
JournalFrontiers in Oncology
Volume10
DOIs
Publication statusPublished - 15 Oct 2020

Keywords

  • prostate cancer
  • late toxicity
  • snps
  • deep learning
  • autoencoder
  • validation
  • GENOME-WIDE ASSOCIATION
  • QUALITY-OF-LIFE
  • RADIATION-THERAPY
  • RADIOGENOMICS
  • METAANALYSIS
  • CONSORTIUM
  • BIOMARKERS
  • SELECTION
  • VARIANTS
  • DESIGN

Cite this