Bias in random forest variable importance measures: Illustrations, sources and a solution C Strobl, AL Boulesteix, A Zeileis, T Hothorn BMC bioinformatics 8 (1), 25, 2007 | 2164 | 2007 |
Conditional variable importance for random forests C Strobl, AL Boulesteix, T Kneib, T Augustin, A Zeileis BMC bioinformatics 9 (1), 307, 2008 | 1980 | 2008 |
Partial least squares: a versatile tool for the analysis of high-dimensional genomic data AL Boulesteix, K Strimmer Briefings in bioinformatics 8 (1), 32-44, 2007 | 721 | 2007 |
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics AL Boulesteix, S Janitza, J Kruppa, IR König Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (6 …, 2012 | 453 | 2012 |
PLS dimension reduction for classification with microarray data AL Boulesteix Statistical Applications in Genetics and Molecular Biology 3 (1), 2004 | 262 | 2004 |
Unbiased split selection for classification trees based on the Gini index C Strobl, AL Boulesteix, T Augustin Computational Statistics & Data Analysis 52 (1), 483-501, 2007 | 233 | 2007 |
Regularized estimation of large-scale gene association networks using graphical Gaussian models N Krämer, J Schäfer, AL Boulesteix BMC bioinformatics 10 (1), 384, 2009 | 204 | 2009 |
Stability and aggregation of ranked gene lists AL Boulesteix, M Slawski Briefings in bioinformatics 10 (5), 556-568, 2009 | 198 | 2009 |
Microarray-based prediction of tumor response to neoadjuvant radiochemotherapy of patients with locally advanced rectal cancer C Rimkus, J Friederichs, A Boulesteix, J Theisen, J Mages, K Becker, ... Clinical Gastroenterology and Hepatology 6 (1), 53-61, 2008 | 175 | 2008 |
An AUC-based permutation variable importance measure for random forests S Janitza, C Strobl, AL Boulesteix BMC bioinformatics 14 (1), 119, 2013 | 157 | 2013 |
Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach AL Boulesteix, K Strimmer Theoretical Biology and Medical Modelling 2 (1), 23, 2005 | 147 | 2005 |
Evaluating microarray-based classifiers: an overview AL Boulesteix, C Strobl, T Augustin, M Daumer Cancer Informatics 6, 77, 2008 | 132 | 2008 |
Survival prediction using gene expression data: a review and comparison WN Van Wieringen, D Kun, R Hampel, AL Boulesteix Computational statistics & data analysis 53 (5), 1590-1603, 2009 | 131 | 2009 |
CMA–a comprehensive Bioconductor package for supervised classification with high dimensional data M Slawski, M Daumer, AL Boulesteix BMC bioinformatics 9 (1), 439, 2008 | 122 | 2008 |
Differential expression of the chemokines GRO-2, GRO-3, and interleukin-8 in colon cancer and their impact on metastatic disease and survival D Doll, L Keller, M Maak, AL Boulesteix, JR Siewert, B Holzmann, ... International journal of colorectal disease 25 (5), 573-581, 2010 | 112 | 2010 |
Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value AL Boulesteix, C Porzelius, M Daumer Bioinformatics 24 (15), 1698-1706, 2008 | 110 | 2008 |
A CART-based approach to discover emerging patterns in microarray data AL Boulesteix, G Tutz, K Strimmer Bioinformatics 19 (18), 2465-2472, 2003 | 107 | 2003 |
Time and rate of sinus formation in pilonidal sinus disease D Doll, J Friederichs, H Dettmann, AL Boulesteix, W Duesel, S Petersen International journal of colorectal disease 23 (4), 359-364, 2008 | 104 | 2008 |
AUC-RF: A new strategy for genomic profiling with random forest ML Calle, V Urrea, AL Boulesteix, N Malats Human heredity 72 (2), 121-132, 2011 | 101 | 2011 |
Over-optimism in bioinformatics: an illustration M Jelizarow, V Guillemot, A Tenenhaus, K Strimmer, AL Boulesteix Bioinformatics 26 (16), 1990-1998, 2010 | 92 | 2010 |