A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machine

A Novel Adaptive Penalized Logistic Regression for Uncovering Biomarker Associated with Anti-Cancer Drug Sensitivity

(2017) Heewon Park et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

High-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives based on the sparse logistic regression model with a bridge penalty

(2017) Zakariya Yahya Algamal et al.   JOURNAL OF CHEMOMETRICS

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

(2017) Z. Y. Algamal et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Quantitative structure-activity relationship model for prediction study of corrosion inhibition efficiency using two-stage sparse multiple linear regression

(2016) Abdo Mohammed Al-Fakih et al.   JOURNAL OF CHEMOMETRICS

Using Support Vector Machine (SVM) for Classification of Selectivity of H1N1 Neuraminidase Inhibitors

(2016) Yang Li et al.   Molecular Informatics

High-dimensional QSAR modelling using penalized linear regression model withL1/2-norm

(2016) Z. Y. Algamal et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

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

(2015) Zakariya Yahya Algamal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2015) Zakariya Yahya Algamal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hidden Markov models for cancer classification using gene expression profiles

(2015) Thanh Nguyen et al.   INFORMATION SCIENCES

High-dimensional quantitative structure-activity relationship modeling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on a two-stage adaptive penalized rank regression

(2015) Zakariya Yahya Algamal et al.   JOURNAL OF CHEMOMETRICS

High-dimensional QSAR prediction of anticancer potency of imidazo[4,5-b]pyridine derivatives using adjusted adaptive LASSO

(2015) Zakariya Yahya Algamal et al.   JOURNAL OF CHEMOMETRICS

A novel ensemble of classifiers that use biological relevant gene sets for microarray classification

(2014) Miguel Reboiro-Jato et al.   APPLIED SOFT COMPUTING

Drug/nondrug classification using Support Vector Machines with various feature selection strategies

(2014) Selcuk Korkmaz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

2D and 3D Quantitative Structure–Activity Relationship Study of Hepatitis C Virus NS5B Polymerase Inhibitors by Comparative Molecular Field Analysis and Comparative Molecular Similarity Indices Analysis Methods

(2014) Eslam Pourbasheer et al.   Journal of Chemical Information and Modeling

QSAR DataBank - an approach for the digital organization and archiving of QSAR model information

(2014) Villu Ruusmann et al.   Journal of Cheminformatics

Quantitative structure–activity relationship study of influenza virus neuraminidase A/PR/8/34 (H1N1) inhibitors by genetic algorithm feature selection and support vector regression

(2013) Yong Cong et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

QSAR model based on weighted MCS trees approach for the representation of molecule data sets

(2013) Bernardo Palacios-Bejarano et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree

(2013) Ke Zhang et al.   TECHNOMETRICS

Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions

(2013) Faizan Sahigara et al.   Journal of Cheminformatics

Assessment of applicability domain for multivariate counter-propagation artificial neural network predictive models by minimum Euclidean distance space analysis: A case study

(2012) Nikola Minovski et al.   ANALYTICA CHIMICA ACTA

Oracle properties of SCAD-penalized support vector machine

(2012) Changyi Park et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data

(2011) Natalia Becker et al.   BMC BIOINFORMATICS

An accurate nonlinear QSAR model for the antitumor activities of chloroethylnitrosoureas using neural networks

(2011) Yu Qin et al.   JOURNAL OF MOLECULAR GRAPHICS & MODELLING

Quantitative structure–activity relationship study on antitumour activity of a series of flavonoids

(2011) Wei-Xuan Wang et al.   MOLECULAR SIMULATION

C-Methylated Flavonoids fromCleistocalyx operculatusand Their Inhibitory Effects on Novel Influenza A (H1N1) Neuraminidase

(2010) Trong-Tuan Dao et al.   JOURNAL OF NATURAL PRODUCTS

Best Practices for QSAR Model Development, Validation, and Exploitation

(2010) Alexander Tropsha   Molecular Informatics

penalizedSVM: a R-package for feature selection SVM classification

(2009) Natalia Becker et al.   BIOINFORMATICS

Docking and 3D-QSAR studies of influenza neuraminidase inhibitors using three-dimensional holographic vector of atomic interaction field analysis

(2009) Jiaying Sun et al.   EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY

Antiviral Potential and Molecular Insight into Neuraminidase Inhibiting Diarylheptanoids fromAlpinia katsumadai

(2009) Ulrike Grienke et al.   JOURNAL OF MEDICINAL CHEMISTRY

Hybrid huberized support vector machines for microarray classification and gene selection

(2008) L. Wang et al.   BIOINFORMATICS