Author

Jacqueline Michelle Metsch

Justus-Liebig-Universität GießenORCID 0000-0002-7517-7041Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:benchmark study· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anne-Christin HauschildiD· 3 shared David B. BlumenthaliD· 1 shared Hryhorii CheredaiD· 1 shared Julia SchirmacheriD· 1 shared Kristin Elisabeth Steinhaus· 1 shared M. MäureriD· 1 shared Miriam Cindy Maurer· 1 shared Nicolai SpicheriD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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3 shared papersBioinformatics

Anne-Christin HauschildORCID

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3 papers

Recent·Most cited

Benchmarking Graph Neural Networks for Multi-Omics Cancer Subtyping using Methylation and Gene Expression Profiles

Julia Schirmacher, M. Mäurer, Jacqueline Michelle Metsch, Hryhorii Chereda, David B. Blumenthal, Anne-Christin Hauschild

This study benchmarks graph neural networks for cancer subtyping using methylation and gene expression data, finding that ChebNet performs best and simple readout layers improve performance.

bioRxiv · Aug 25, 2026 · PreprintBioinformatics

BenchXAI: Comprehensive Benchmarking of Post-hoc Explainable AI Methods on Multi-Modal Biomedical Data

Jacqueline Michelle Metsch, Anne-Christin Hauschild

BenchXAI benchmarks fifteen post-hoc XAI methods on multi-modal biomedical data, finding some methods perform well across tasks while others struggle.

Computers in Biology and Medicine · Apr 15, 2025Peer-reviewedBioinformatics

Ensemble Post-hoc Explainable AI for Multilead ECG: Identifying Disease-Relevant Features in Single-Lead Interpretations

Jacqueline Michelle Metsch, Philip Hempel, Miriam Cindy Maurer, Kristin Elisabeth Steinhaus, Nicolai Spicher, Anne-Christin Hauschild

The paper evaluates XAI methods for a 1D-ResNet ECG classifier, finding some methods consistently highlight clinically relevant features while others do not.

bioRxiv · Feb 14, 2025 · PreprintBioinformatics