A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s11634-018-0334-1.pdf
Reference55 articles.
1. Algamal ZY, Lee MH (2015a) Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification. Expert Syst Appl 42:9326–9332
2. Algamal ZY, Lee MH (2015b) Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification. Comput Biol Med 67:136–145
3. Algamal ZY, Lee MH (2015c) Applying penalized binary logistic regression with correlation based elastic net for variables selection. J Mod Appl Stat Methods 14:168–179
4. Algamal ZY, Lee MH (2015d) High dimensional logistic regression model using adjusted elastic net penalty. Pak J Stat Oper Res 11:667–676
5. Algamal ZY, Lee MH (2015e) Adjusted adaptive lasso in high-dimensional Poisson regression model. Mod Appl Sci 9:170–176
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