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Volumn 51, Issue , 2015, Pages 517-520
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Evaluation and visualization of radiogenomic modeling frameworks for the prediction of normal tissue toxicities
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Author keywords
Copy number variations; Normal tissue toxicity; Prostate cancer; Radiogenomic modeling; Radiotherapy
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Indexed keywords
BIOMEDICAL ENGINEERING;
DATA VISUALIZATION;
DISEASES;
DOSIMETRY;
PRINCIPAL COMPONENT ANALYSIS;
RADIOTHERAPY;
REGRESSION ANALYSIS;
RISK ASSESSMENT;
TISSUE;
TOXICITY;
VISUALIZATION;
CLASSIFICATION PERFORMANCE;
COPY NUMBER VARIATIONS;
HYPOFRACTIONATED RADIOTHERAPIES;
LOGISTIC REGRESSION MODELING;
NORMAL-TISSUE TOXICITY;
PRINCIPLE COMPONENT ANALYSIS;
PROSTATE CANCERS;
SINGLE NUCLEOTIDE POLYMORPHISMS;
QUALITY CONTROL;
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EID: 84944317581
PISSN: 16800737
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1007/978-3-319-19387-8_127 Document Type: Conference Paper |
Times cited : (2)
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References (9)
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