Mertes, Christian

Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment

Schulte-Schrepping, J., Reusch, N., Paclik, D., Baßler, K., Schlickeiser, S., Zhang, B., Krämer, B., Krammer, T., Brumhard, S., Bonaguro, L., et al. (2020) · Cell

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

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Swarm Learning for decentralized and confidential clinical machine learning

Warnat-Herresthal, S., Schultze, H., Shastry, K. L., Manamohan, S., Mukherjee, S., Garg, V., Sarveswara, R., Händler, K., Pickkers, P., Aziz, N. A., et al. (2021) · Nature

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

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Genetic diagnosis of Mendelian disorders via RNA sequencing

Kremer, L. S., Bader, D. M., Mertes, C., Kopajtich, R., Pichler, G., Iuso, A., Haack, T. B., Graf, E., Schwarzmayr, T., Terrile, C., et al. (2017) · Nature Communications

Genomics and Rare DiseasesMitochondrial Function and Pathology

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PROTRIDER: Protein abundance outlier detection from mass spectrometry-based proteomics data with a conditional autoencoder

Klaproth-Andrade, D., Scheller, I. F., Tsitsiridis, G., Loipfinger, S., Mertes, C., Smirnov, D., Prokisch, H., Yépez, V. A., & Gagneur, J. (2025) · Bioinformatics

Advanced Proteomics Techniques and ApplicationsAnomaly Detection Techniques and Applications

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