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eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models.
Julián Candia
John S. Tsang
Published in:
BMC Bioinform. (2019)
Keyphrases
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elastic net
generalized linear models
logistic regression
linear support vector machines
regression model
topology preserving
linear regression
decision trees
high dimensional
loss function
regularization parameter
least squares
regression methods
support vector
model selection