A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies

Emotional lability, comorbidity and impairment in adults with attention-deficit hyperactivity disorder

(2012) Caroline Skirrow et al.   JOURNAL OF AFFECTIVE DISORDERS

Multiple-rule bias in the comparison of classification rules

(2011) Mohammadmahdi R. Yousefi et al.   BIOINFORMATICS

Shared genetic influences on ADHD symptoms and very low-frequency EEG activity: a twin study

(2011) Charlotte Tye et al.   JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY

Electrophysiological evidence for abnormal preparatory states and inhibitory processing in adult ADHD

(2010) Gráinne McLoughlin et al.   Behavioral and Brain Functions

On the Comparison of Classifiers for Microarray Data

(2010) Blaise Hanczar et al.   Current Bioinformatics

The AddNeuroMed framework for multi-centre MRI assessment of Alzheimer's disease : experience from the first 24 months

(2010) Andrew Simmons et al.   INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY

MULTI-FACTORIAL ANALYSIS OF CLASS PREDICTION ERROR: ESTIMATING OPTIMAL NUMBER OF BIOMARKERS FOR VARIOUS CLASSIFICATION RULES

(2010) MIZANUR R. KHONDOKER et al.   Journal of Bioinformatics and Computational Biology

MRI Measures of Alzheimer's Disease and the AddNeuroMed Study

(2009) Andrew Simmons et al.   Annals of the New York Academy of Sciences

Papers on normalization, variable selection, classification or clustering of microarray data

(2009) D. M. Rocke et al.   BIOINFORMATICS

Reporting bias when using real data sets to analyze classification performance

(2009) M. R. Yousefi et al.   BIOINFORMATICS

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

(2008) Alexander Statnikov et al.   BMC BIOINFORMATICS

A comparative study of different machine learning methods on microarray gene expression data

(2008) Mehdi Pirooznia et al.   BMC GENOMICS