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Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value

, , and . Bioinformatics, 24 (15): 1698--1706 (2008)

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A computationally fast variable importance test for random forests for high-dimensional data., , and . Adv. Data Anal. Classif., 12 (4): 885-915 (2018)Unbiased split selection for classification trees based on the Gini Index, , and . Computational Statistics & Data Analysis, 52 (1): 483--501 (Sep 15, 2007)Tunability: Importance of Hyperparameters of Machine Learning Algorithms., , and . Journal of Machine Learning Research, (2019)Partial least squares: a versatile tool for the analysis of high-dimensional genomic data, and . Briefings in bioinformatics, 8 (1): 32–44 (2007)Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges, , , , , , , , , and 2 other author(s). Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, (Mar 10, 2023)Funding Information: Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology, Grant/Award Number: BAYERN DIGITAL II; Bundesministerium für Bildung und Forschung, Grant/Award Number: 01IS18036A; Deutsche Forschungsgemeinschaft (Collaborative Research Center), Grant/Award Number: SFB 876‐A3; Federal Statistical Office of Germany; Research Center “Trustworthy Data Science and Security” Funding information Funding Information: The authors of this work take full responsibilities for its content. This work was supported by the Federal Statistical Office of Germany; the Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876, A3; the Research Center “Trustworthy Data Science and Security”, one of the Research Alliance centers within the https://uaruhr.de ; the German Federal Ministry of Education and Research (BMBF) under Grant No. 01IS18036A; and the Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology through the Center for Analytics‐Data‐Applications (ADA‐Center) within the framework of “BAYERN DIGITAL II.”.Identification of interaction patterns and classification with applications to microarray data., and . Comput. Stat. Data Anal., 50 (3): 783-802 (2006)Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data., , , , and . BMC Bioinform., 19 (1): 322:1-322:14 (2018)Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value, , and . Bioinformatics, 24 (15): 1698--1706 (2008)IPF-LASSO: Integrative L1-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data., , , and . Comput. Math. Methods Medicine, (2017)Hyperparameters and tuning strategies for random forest., , and . WIREs Data Mining Knowl. Discov., (2019)