Machine learning of radiogenomics SNP GWAS to predict complication risk and to identify key biological correlates Meeting Abstract


Authors: Deasy, J.; Lee, S. K.; Oh, J. H.; Kerns, S.; Orstrer, H.; Rosenstein, B.
Abstract Title: Machine learning of radiogenomics SNP GWAS to predict complication risk and to identify key biological correlates
Meeting Title: 37th Meeting of the European Society for Radiotherapy and Oncology (ESTRO)
Journal Title: Radiotherapy and Oncology
Volume: 127
Issue: Suppl. 1
Meeting Dates: 2018 Apr 20-24
Meeting Location: Barcelona, Spain
ISSN: 0167-8140
Publisher: Elsevier Inc.  
Date Published: 2018-04-01
Start Page: S249
Language: English
ACCESSION: WOS:000437723401096
DOI: 10.1016/s0167-8140(18)30794-1
PROVIDER: wos
Notes: Meeting Abstract: SP-0484 -- Source: Wos
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  1. Jung Hun Oh
    187 Oh
  2. Joseph Owen Deasy
    524 Deasy
  3. Sang Kyu Lee
    18 Lee