Predicting genitourinary toxicity by machine learning on genome-wide single nucleotide polymorphisms Meeting Abstract


Authors: Lee, S.; Oh, J.; Kerns, S.; Rosenstein, B.; Ostrer, H.; Deasy, J.
Abstract Title: Predicting genitourinary toxicity by machine learning on genome-wide single nucleotide polymorphisms
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: S297
End Page: S298
Language: English
ACCESSION: WOS:000437723401174
DOI: 10.1016/s0167-8140(18)30874-0
PROVIDER: wos
Notes: Meeting Abstract: PV-0564 -- Source: Wos
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  1. Jung Hun Oh
    187 Oh
  2. Joseph Owen Deasy
    524 Deasy
  3. Sang Kyu Lee
    18 Lee