SU-D-204-06: Integration of Machine Learning and Bioinformatics Methods to Analyze Genome-Wide Association Study Data for Rectal Bleeding and Erectile Dysfunction Following Radiotherapy in Prostate Cancer

2016 ◽  
Vol 43 (6Part3) ◽  
pp. 3333-3333
Author(s):  
J Oh ◽  
S Kerns ◽  
H Ostrer ◽  
B Rosenstein ◽  
J Deasy
Keyword(s):  
Prostate Cancer ◽  
Machine Learning ◽  
Erectile Dysfunction ◽  
Association Study ◽  
Rectal Bleeding ◽  
Genome Wide Association Study ◽  
Study Data ◽  
Genome Wide Association ◽  
Genome Wide

scholarly journals Genome-wide association study identifies a region on chromosome 11q14.3 associated with late rectal bleeding following radiation therapy for prostate cancer

2013 ◽  
Vol 107 (3) ◽  
pp. 372-376 ◽  
Author(s):  
Sarah L. Kerns ◽  
Richard G. Stock ◽  
Nelson N. Stone ◽  
Seth R. Blacksburg ◽  
Lynda Rath ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radiation Therapy ◽  
Association Study ◽  
Rectal Bleeding ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide

scholarly journals A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data

2018 ◽  
Vol 14 (5) ◽  
pp. e1006105 ◽  
Author(s):  
Aaditya V. Rangan ◽  
Caroline C. McGrouther ◽  
John Kelsoe ◽  
Nicholas Schork ◽  
Eli Stahl ◽  
...  
Keyword(s):  
Gene Expression ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Study Data ◽  
Genome Wide Association ◽  
Low Rank ◽  
Counting Method ◽  
Genome Wide
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