Anne-Laure Boulesteix
Anne-Laure Boulesteix
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Bias in random forest variable importance measures: Illustrations, sources and a solution
C Strobl, AL Boulesteix, A Zeileis, T Hothorn
BMC bioinformatics 8 (1), 1-21, 2007
Conditional variable importance for random forests
C Strobl, AL Boulesteix, T Kneib, T Augustin, A Zeileis
BMC bioinformatics 9 (1), 1-11, 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
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
PLS dimension reduction for classification with microarray data
AL Boulesteix
Statistical Applications in Genetics and Molecular Biology 3 (1), 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
Regularized estimation of large-scale gene association networks using graphical Gaussian models
N Krämer, J Schäfer, AL Boulesteix
BMC bioinformatics 10 (1), 1-24, 2009
Stability and aggregation of ranked gene lists
AL Boulesteix, M Slawski
Briefings in bioinformatics 10 (5), 556-568, 2009
An AUC-based permutation variable importance measure for random forests
S Janitza, C Strobl, AL Boulesteix
BMC bioinformatics 14 (1), 1-11, 2013
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
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), 1-12, 2005
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
Evaluating microarray-based classifiers: an overview
AL Boulesteix, C Strobl, T Augustin, M Daumer
Cancer Informatics 6, 77, 2008
CMA–a comprehensive Bioconductor package for supervised classification with high dimensional data
M Slawski, M Daumer, AL Boulesteix
BMC bioinformatics 9 (1), 1-17, 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
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
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
A CART-based approach to discover emerging patterns in microarray data
AL Boulesteix, G Tutz, K Strimmer
Bioinformatics 19 (18), 2465-2472, 2003
Random forest for ordinal responses: prediction and variable selection
S Janitza, G Tutz, AL Boulesteix
Computational Statistics & Data Analysis 96, 57-73, 2016
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
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