Author

Sevina Dietz

Center for Molecular and Cellular BioengineeringORCID 0000-0001-8360-7868Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:ChIP-seq· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anne EugsteriD· 2 shared Aikaterina Nikolaidi· 1 shared Andreas DahliD· 1 shared Annekathrin Kränkel· 1 shared Annika KolodziejczykiD· 1 shared Cahit BirdiriD· 1 shared Claudia PeitzschiD· 1 shared Ezgi Senoglu· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersDevelopmental Biology

Anne EugsterORCID

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2 papers

Recent·Most cited

Developmental BiologybioRxivPreprintOct 1, 2024

Epigenome profiling identifies H3K27me3 regulation of extra-cellular matrix composition in human corticogenesis

Nora Ditzer, Ezgi Senoglu, Theresa M. Schütze…·Mareike Albert

The paper identifies H3K27me3 regulation of extra-cellular matrix composition in human corticogenesis using Epi-CyTOF and cortical organoids.

1 citation

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedNov 15, 2018

Machine learning based classification of cells into chronological stages using single-cell transcriptomics.

Sumeet Pal Singh, Sharan Janjuha, Samata Chaudhuri…·John E. Reid

This paper introduces GERAS, a machine learning framework that classifies single-cell transcriptomes into chronological stages with high accuracy and identifies aging-related factors in zebrafish and human pancreatic cells.

28 citations

𝕏 PostBluesky