Author

Christian Herr

Universitätsklinikum des SaarlandesORCID 0000-0001-9422-6569Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Clara LehmanniD· 2 shared Covid-19 Aachen Study (COVAS)· 2 shared A. Pesenti· 1 shared Aaron Blandino OrtíziD· 1 shared Adolfo de SalazariD· 1 shared Adolfo Garrido Chercoles· 1 shared Adriana PalomiD· 1 shared Agustı́n RuiziD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Clara LehmannORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineHuman Molecular GeneticsPeer-reviewedJul 15, 2022

New susceptibility loci for severe COVID-19 by detailed GWAS analysis in European populations

Frauke C. Degenhardt, David Ellinghaus, Simonas Juzėnas…·Elio Scarpini

This study identifies a new susceptibility locus for severe COVID-19 through a detailed GWAS analysis in European populations, focusing on genetic variants associated with disease severity.

108 citationstop 4%

humanGWAS summary statistics

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BioinformaticsNaturePeer-reviewedMay 26, 2021

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

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Shastry…·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.

884 citationstop 1%

humanbulk RNA-seq

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