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Modified Logistic Regression Models Using Gene Coexpression and Clinical Features to Predict Prostate Cancer Progression.
Hongya Zhao
Christopher J. Logothetis
Ivan P. Gorlov
Jia Zeng
Jianguo Dai
Published in:
Comput. Math. Methods Medicine (2013)
Keyphrases
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prostate cancer
logistic regression models
disease progression
cancer patients
high dimensionality
image guided
logistic regression
microarray
image processing
least squares
feature extraction
variable selection
ls svm
model selection
microarray datasets
classification accuracy
feature space