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- Publications
- Influence

Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification

- Z. Algamal, M. H. Lee
- Computer Science
- Expert Syst. Appl.
- 15 December 2015

tl;dr

Adjusted Adaptive LASSO in High-Dimensional Poisson Regression Model

- Z. Algamal, M. H. Lee
- Mathematics
- 11 January 2015

The LASSO has been widely studied and used in many applications, but it not shown oracle properties. Depending on a consistent initial parameters vector, an adaptive LASSO showed oracle properties,… Expand

Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification

- Z. Algamal, M. H. Lee
- Computer Science, Medicine
- Comput. Biol. Medicine
- 1 December 2015

tl;dr

A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives

- Z. Algamal, M. H. Lee
- Medicine, Mathematics
- SAR and QSAR in environmental research
- 2 January 2017

Abstract A high-dimensional quantitative structure–activity relationship (QSAR) classification model typically contains a large number of irrelevant and redundant descriptors. In this paper, a new… Expand

A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification

- Z. Algamal, M. H. Lee
- Mathematics, Computer Science
- Adv. Data Anal. Classif.
- 1 September 2019

tl;dr

High Dimensional Logistic Regression Model using Adjusted Elastic Net Penalty

- Z. Algamal, M. H. Lee
- Mathematics
- 3 December 2015

Reduction of the high dimensional binary classification data using penalized logistic regression is one of the challenges when the explanatory variables are correlated. To tackle both estimate the… Expand

Applying Penalized Binary Logistic Regression with Correlation Based Elastic Net for Variables Selection

- Z. Algamal, M. H. Lee
- Mathematics
- 1 May 2015

Reduction of the high dimensional classification using penalized logistic regression is one of the challenges in applying binary logistic regression. The applied penalized method, correlation based… Expand

Bayesian bridge quantile regression

- Rahim Alhamzawi, Z. Algamal
- Computer Science, Mathematics
- Commun. Stat. Simul. Comput.
- 16 March 2019

tl;dr

Developing a ridge estimator for the gamma regression model

- Z. Algamal
- Mathematics
- 1 October 2018

The ridge regression model has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The gamma regression model is a very popular model in… Expand

Re-sampling in Linear Regression Model Using Jackknife and Bootstrap

- Z. Algamal, K. S. Rasheed
- Mathematics
- 28 December 2010

Abstract Statistical inference is based generally on some estimates that are functions of the data. Resampling methods offer strategies to estimate or approximate the sampling distribution of a… Expand

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