Author

Melinda Czéh-Bhardwaj

John Radcliffe Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Bowen ZhangiD· 1 shared Christopher YauiD· 1 shared Claus NerloviD· 1 shared Niels Asger JakobseniD· 1 shared Píetro LióiD· 1 shared Simiao ZhaoiD· 1 shared Xuehao ZhaiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bowen ZhangORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 26, 2026

Deep learning enables cross-species annotation and attribution of ageing states in haematopoietic stem and immune cells

Simiao Zhao, Bowen Zhang, Melinda Czéh-Bhardwaj…·Claus Nerlov

The paper develops a cross-species deep learning framework to annotate and attribute ageing states in haematopoietic stem and immune cells, achieving high AUROC scores in human data.

DOI 10.64898/2026.07.24.730582

mousehuman

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