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Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV.
Katrin Hainke
Sebastian Szugat
Roland Fried
Jörg Rahnenführer
Published in:
BMC Bioinform. (2017)
Keyphrases
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variable selection
linear models
cross validation
mathematical models
model selection
prostate cancer
high dimensional data
dimension reduction
preprocessing
neural network
training data
image data
disease progression