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Roman Hornung
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2020 – today
- 2024
- [j12]Yingxia Li, Tobias Herold, Ulrich Mansmann, Roman Hornung:
Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study. BMC Medical Informatics Decis. Mak. 24(1): 244 (2024) - 2023
- [j11]Alexander Hapfelmeier, Roman Hornung, Bernhard Haller:
Efficient permutation testing of variable importance measures by the example of random forests. Comput. Stat. Data Anal. 181: 107689 (2023) - [i4]Roman Hornung, Frederik Ludwigs, Jonas Hagenberg, Anne-Laure Boulesteix:
Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study. CoRR abs/2302.03991 (2023) - [i3]Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix:
Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR abs/2310.15108 (2023) - 2022
- [j10]Yingxia Li, Ulrich Mansmann, Shangming Du, Roman Hornung:
Benchmark study of feature selection strategies for multi-omics data. BMC Bioinform. 23(1): 412 (2022) - [j9]Roman Hornung, Anne-Laure Boulesteix:
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Comput. Stat. Data Anal. 171: 107460 (2022) - [j8]Roman Hornung:
Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests. SN Comput. Sci. 3(1): 1 (2022) - [i2]Alexander Hapfelmeier, Roman Hornung, Bernhard Haller:
Sequential Permutation Testing of Random Forest Variable Importance Measures. CoRR abs/2206.01284 (2022) - 2021
- [j7]Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix:
Large-scale benchmark study of survival prediction methods using multi-omics data. Briefings Bioinform. 22(3) (2021) - [j6]Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, Roman Hornung:
Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning. J. Classif. 38(2): 212-231 (2021) - 2020
- [j5]Roman Hornung:
Ordinal Forests. J. Classif. 37(1): 4-17 (2020) - [i1]Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix:
Large-scale benchmark study of survival prediction methods using multi-omics data. CoRR abs/2003.03621 (2020)
2010 – 2019
- 2019
- [j4]Roman Hornung, Marvin N. Wright:
Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinform. 20(1): 358:1-358:17 (2019) - 2018
- [j3]Simon Klau, Vindi Jurinovic, Roman Hornung, Tobias Herold, Anne-Laure Boulesteix:
Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. BMC Bioinform. 19(1): 322:1-322:14 (2018) - 2017
- [j2]Roman Hornung, David Causeur, Christoph Bernau, Anne-Laure Boulesteix:
Improving cross-study prediction through addon batch effect adjustment or addon normalization. Bioinform. 33(3): 397-404 (2017) - 2016
- [j1]Roman Hornung, Anne-Laure Boulesteix, David Causeur:
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. BMC Bioinform. 17: 27 (2016)
Coauthor Index
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