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Nature Communications|August 2, 2025
High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT)Yannis Schumann, Simon Schlumbohm, Julia E Neumann, et al.
BMC Bioinformatics|February 11, 2025
HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservationSimon Schlumbohm, Julia E Neumann, Philipp Neumann
BMC Bioinformatics|March 21, 2023
Robust classification using average correlations as features (ACF)Yannis Schumann, Julia E Neumann, Philipp Neumann
Brain Pathology (Zurich, Switzerland)|January 11, 2024
Morphology-based molecular classification of spinal cord ependymomas using deep neural networksYannis Schumann, Matthias Dottermusch, Leonille Schweizer, et al.
Proteomics|December 31, 2024
Computational Methods for Data Integration and Imputation of Missing Values in Omics DatasetsYannis Schumann, Antonia Gocke, Julia E Neumann
Nature Communications|June 20, 2022
HarmonizR enables data harmonization across independent proteomic datasets with appropriate handling of missing valuesHannah Voß, Simon Schlumbohm, Philip Barwikowski, et al.
BMC Bioinformatics|September 23, 2025
CCNV: a user-friendly R package enabling large-scale cumulative copy number variation analyses of DNA methylation dataAntonia Gocke, Yannis Schumann, Jelena Navolić, et al.
Nature Communications|July 23, 2024
Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan levelShweta Godbole, Hannah Voß, Antonia Gocke, et al.
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