Multiple-rule bias in the comparison of classification rules

Over-optimism in bioinformatics: an illustration

(2010) M. Jelizarow et al.   BIOINFORMATICS

Small-sample precision of ROC-related estimates

(2010) B. Hanczar et al.   BIOINFORMATICS

On the Comparison of Classifiers for Microarray Data

(2010) Blaise Hanczar et al.   Current Bioinformatics

Joint Sampling Distribution Between Actual and Estimated Classification Errors for Linear Discriminant Analysis

(2010) Amin Zollanvari et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

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

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

Over-optimism in bioinformatics research

(2009) A.-L. Boulesteix   BIOINFORMATICS

Reporting bias when using real data sets to analyze classification performance

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

Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction

(2009) Anne-Laure Boulesteix et al.   BMC Medical Research Methodology

On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers

(2009) Amin Zollanvari et al.   PATTERN RECOGNITION

Exact correlation between actual and estimated errors in discrete classification

(2009) Ulisses M. Braga-Neto et al.   PATTERN RECOGNITION LETTERS

On the Epistemological Crisis in Genomics

(2008) Edward Dougherty   CURRENT GENOMICS

Performance of feature-selection methods in the classification of high-dimension data

(2008) Jianping Hua et al.   PATTERN RECOGNITION