Author

Thomas Eggermann

Universitätsklinikum AachenORCID 0000-0002-8419-0264Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ingo KurthiD· 3 shared Eva LausbergiD· 2 shared Florian KraftiD· 2 shared Matthias BegemanniD· 2 shared Alexander BartholomäusiD· 1 shared Alexander DiltheyiD· 1 shared Alexander GoesmanniD· 1 shared Andreas DiefenbachiD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Ingo KurthORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

CNVizard: a lightweight streamlit application for an interactive analysis of copy number variants

Jeremias Krause, Carlos Classen, Daniela Dey, Eva Lausberg, Luise Kessler, Thomas Eggermann, Ingo Kurth, Matthias Begemann, Florian Kraft

CNVizard is a lightweight Streamlit app for interactive CNV analysis, visualization, and annotation, compatible with CNVkit and AnnotSV.

BMC Bioinformatics · Dec 17, 2024Peer-reviewedBioinformatics

Swarm Learning as a privacy-preserving machine learning approach for disease classification

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Shastry, Sathyanarayanan Manamohan, Saikat Mukherjee, Vishesh Garg, Ravi Sarveswara, Kristian Händler, Peter Pickkers, N. Ahmad Aziz, Sofia Ira Ktena, Florian Tran, Michael Bitzer, Stephan Ossowski, Nicolas Casadei, , Alexander Goesmann

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

Nature · May 26, 2021Peer-reviewedBioinformatics

A human multisystem disorder with autoinflammation, leukoencephalopathy and hepatopathy is caused by mutations in C2orf69

Eva Lausberg, Sebastian Gießelmann, Joseph P. Dewulf, Elsa Wiame, Anja Holz, Ramona Salvarinova, Clara van Karnebeek, Patricia Klemm, Kim Ohl, Michael Mull, Till A. Braunschweig, Joachim Weis, Clemens J. Sommer, Stephanie Demuth, Claudia Haase, , Florian Kraft

The paper identifies mutations in the C2orf69 gene as the cause of a human multisystem disorder characterized by autoinflammation, leukoencephalopathy, and hepatopathy.

Journal of Clinical Investigation · May 4, 2021Peer-reviewedGenetic & Genomic Medicine