Author

Ezio E. Bonifacio

Center for Regenerative Therapies DresdenORCID 0000-0002-8704-4713Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Anette‐Gabriele ZiegleriD· 2 shared Christiane WinkleriD· 2 shared Fabian Joachim TheisiD· 2 shared Alexander BartholomäusiD· 1 shared Alexander DiltheyiD· 1 shared Alexander GoesmanniD· 1 shared Andreas DahliD· 1 shared Andreas DiefenbachiD· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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2 shared papersGenetic & Genomic Medicine

Anette‐Gabriele ZieglerORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Genetic & Genomic MedicineArchives of Disease in ChildhoodPeer-reviewedSep 28, 2022

Successful incorporation of a genetic risk prediction research platform into routine newborn screening

Owen Bendor-Samuel, Tabitha Wishlade, Louise Willis…·the GPPAD Study Group

The paper describes the integration of a genetic risk prediction platform into the NHS newborn screening program for Type 1 Diabetes, demonstrating a model for population-based genetic research.

4 citations

humanDNA methylation

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BioinformaticsNature MetabolismPeer-reviewedJun 28, 2021

Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories toward type 2 diabetes

Leonore Wigger, Marko Barovic, Andreas‐David Brunner…·Michele Solimena

This study uses multi-omics analysis of pancreatic islet donors to show heterogeneous beta cell changes associated with type 2 diabetes progression.

162 citationstop 1%

humanbulk RNA-seq

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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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GenomicsScientific ReportsPeer-reviewedApr 18, 2019

Common patterns of gene regulation associated with Cesarean section and the development of islet autoimmunity -- indications of immune cell activation

Michael Laimighofer, Ramona Lickert, R. Fuerst…·Jan Krumsiek

The paper identifies gene expression patterns linked to Cesarean section and islet autoimmunity, showing shared transcriptional changes associated with immune cell activation.

20 citations

humanbulk RNA-seq

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