Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach

In Acute Myocardial Infarction Liver Parameters Are Associated With Stenosis Diameter

(2016) Theodor Baars et al.   MEDICINE

Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification

(2016) Mona Riemenschneider et al.   BioData Mining

On the limits of computational functional genomics for bacterial lifestyle prediction

(2014) E. Barbosa et al.   Briefings in Functional Genomics

Non-Invasive Separation of Alcoholic and Non-Alcoholic Liver Disease with Predictive Modeling

(2014) Jan-Peter Sowa et al.   PLoS One

An AUC-based permutation variable importance measure for random forests

(2013) Silke Janitza et al.   BMC BIOINFORMATICS

Novel Algorithm for Non-Invasive Assessment of Fibrosis in NAFLD

(2013) Jan-Peter Sowa et al.   PLoS One

An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data

(2012) Y. Piao et al.   BIOINFORMATICS

Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?

(2012) W. G. Touw et al.   BRIEFINGS IN BIOINFORMATICS

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

3′-Phosphoadenosine 5′-Phosphosulfate (PAPS) Synthases, Naturally Fragile Enzymes Specifically Stabilized by Nucleotide Binding

(2012) Johannes van den Boom et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics

(2012) Anne-Laure Boulesteix et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

AUC-RF: A New Strategy for Genomic Profiling with Random Forest

(2011) M. Luz Calle et al.   HUMAN HEREDITY

Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers

(2011) J Nikolaj Dybowski et al.   BioData Mining

Discriminative and informative features for biomolecular text mining with ensemble feature selection

(2010) S. Van Landeghem et al.   BIOINFORMATICS

Stable feature selection for biomarker discovery

(2010) Zengyou He et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Robust biomarker identification for cancer diagnosis with ensemble feature selection methods

(2009) Thomas Abeel et al.   BIOINFORMATICS

A Bias Correction Algorithm for the Gini Variable Importance Measure in Classification Trees

(2008) Marco Sandri et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS