Anne-Laure Boulesteix
Orcid: 0000-0002-2729-0947Affiliations:
- LMU Munich, Institute for Medical Information Processing, Biometry and Epidemiology, Germany
According to our database1,
Anne-Laure Boulesteix
authored at least 55 papers
between 2003 and 2024.
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Bibliography
2024
CoRR, 2024
2023
A white paper on good research practices in benchmarking: The case of cluster analysis.
WIREs Data. Mining. Knowl. Discov., November, 2023
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study.
Adv. Data Anal. Classif., March, 2023
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
PLoS Comput. Biol., January, 2023
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.
WIREs Data. Mining. Knowl. Discov., 2023
Evaluating machine learning models in non-standard settings: An overview and new findings.
CoRR, 2023
Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study.
CoRR, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results.
WIREs Data Mining Knowl. Discov., 2022
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects.
Comput. Stat. Data Anal., 2022
2021
J. Classif., 2021
Briefings Bioinform., 2021
Briefings Bioinform., 2021
2020
Combining clinical and molecular data in regression prediction models: insights from a simulation study.
Briefings Bioinform., 2020
2019
WIREs Data Mining Knowl. Discov., 2019
J. Mach. Learn. Res., 2019
2018
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models.
Comput. Stat., 2018
Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data.
BMC Bioinform., 2018
BMC Bioinform., 2018
A computationally fast variable importance test for random forests for high-dimensional data.
Adv. Data Anal. Classif., 2018
2017
J. Mach. Learn. Res., 2017
Detection of influential points as a byproduct of resampling-based variable selection procedures.
Comput. Stat. Data Anal., 2017
IPF-LASSO: Integrative L<sup>1</sup>-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data.
Comput. Math. Methods Medicine, 2017
Improving cross-study prediction through addon batch effect adjustment or addon normalization.
Bioinform., 2017
2016
Comput. Stat. Data Anal., 2016
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment.
BMC Bioinform., 2016
2015
Ten Simple Rules for Reducing Overoptimistic Reporting in Methodological Computational Research.
PLoS Comput. Biol., 2015
Letter to the Editor: On the term 'interaction' and related phrases in the literature on Random Forests.
Briefings Bioinform., 2015
Briefings Bioinform., 2015
2014
2013
On the Simultaneous Analysis of Clinical and Omics Data: A Comparison of Globalboosttest and Pre-validation Techniques.
Proceedings of the Statistical Models for Data Analysis, 2013
Complexity Selection with Cross-validation for Lasso and Sparse Partial Least Squares Using High-Dimensional Data.
Proceedings of the Algorithms from and for Nature and Life, 2013
BMC Bioinform., 2013
On representative and illustrative comparisons with real data in bioinformatics: response to the letter to the editor by Smith <i>et al.</i>.
Bioinform., 2013
2012
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics.
WIREs Data Mining Knowl. Discov., 2012
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations.
Briefings Bioinform., 2012
2011
Added predictive value of high-throughput molecular data to clinical data and its validation.
Briefings Bioinform., 2011
2010
BMC Bioinform., 2010
2009
Comput. Stat. Data Anal., 2009
Regularized estimation of large-scale gene association networks using graphical Gaussian models.
BMC Bioinform., 2009
2008
CMA - a comprehensive Bioconductor package for supervised classification with high dimensional data.
BMC Bioinform., 2008
Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value.
Bioinform., 2008
2007
Comput. Stat. Data Anal., 2007
Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints.
Comput. Stat. Data Anal., 2007
Bias in random forest variable importance measures: Illustrations, sources and a solution.
BMC Bioinform., 2007
Bioinform., 2007
Partial least squares: a versatile tool for the analysis of high-dimensional genomic data.
Briefings Bioinform., 2007
2006
Identification of interaction patterns and classification with applications to microarray data.
Comput. Stat. Data Anal., 2006
2003
Bioinform., 2003