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Integrating Biological Context into the Analysis of Gene Expression Data., and . DCAI (Special Sessions), volume 801 of Advances in Intelligent Systems and Computing, page 339-343. Springer, (2018)The Medical Knowledge Cockpit: Real-time analysis of big medical data enabling precision medicine., , , , , and . BIBM, page 770-775. IEEE Computer Society, (2015)Integrative biomarker detection on high-dimensional gene expression data sets: a survey on prior knowledge approaches.. Briefings Bioinform., (2021)Integrative biomarker detection using prior knowledge on gene expression data sets (Integrative Biomarker-Erkennung auf Genexpressions-Daten mithilfe von biologischem Vorwissen). University of Potsdam, Germany, (2023)base-search.net (ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:58241).A Federated In-memory Database System for Life Sciences., , , , , , , , and . BIRTE (Revised Selected Papers), volume 337 of Lecture Notes in Business Information Processing, page 19-34. Springer, (2015)A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data., , , , , , , , and . BIBM, page 2159-2166. IEEE Computer Society, (2018)Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches., , and . J. Integr. Bioinform., (2019)Ebola Outbreak Containment: Real-Time Task and Resource Coordination With SORMAS., , , , , , , , , and 3 other author(s). Frontiers ICT, (2018)Comprior: facilitating the implementation and automated benchmarking of prior knowledge-based feature selection approaches on gene expression data sets.. BMC Bioinform., 22 (1): 401 (2021)A Framework for the Automatic Combination and Evaluation of Gene Selection Methods., , and . PACBB, volume 803 of Advances in Intelligent Systems and Computing, page 166-174. Springer, (2018)