Analysis of Single Nucleotide Polymorphisms in Candidate Genes and Application of Machine Learning Techniques to Predict Radiation Toxicity in Prostate Cancer Patients Treated with Conformal Radiotherapy
Full Text:
prostate_v3_Russ_Wendy.ppt 
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Citation
W. Wang,
S. Damaraju,
C. Cass,
G. Fallone,
M. Parliament,
R. Greiner.
"Analysis of Single Nucleotide Polymorphisms in Candidate Genes and Application of Machine Learning Techniques to Predict Radiation Toxicity in Prostate Cancer Patients Treated with Conformal Radiotherapy". ACB Annual Research Meeting, Banff, November 2005.
| Keywords: |
PolyomX, prostate toxicity, SNP, machine learning |
| Category: |
In Workshop |
BibTeX
@misc{Wang+al:ACBAnnualMeeting05,
author = {Wendy (Yunping) Wang and Sambasivarao Damaraju and Carol Cass and
Gino Fallone and Matthew Parliament and Russ Greiner},
title = {Analysis of Single Nucleotide Polymorphisms in Candidate Genes and
Application of Machine Learning Techniques to Predict Radiation Toxicity in
Prostate Cancer Patients Treated with Conformal Radiotherapy},
booktitle = {ACB Annual Research Meeting, Banff},
year = 2005,
}Last Updated: April 23, 2007
Submitted by Nelson Loyola 
