Author

D. J. Simpson

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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Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1

Frequent Co-Authors

T. Chandra· 2 shared A. Salzano· 1 shared B. R. Conway· 1 shared C. Benezech· 1 shared C. Cairns· 1 shared D. Ferenbach· 1 shared D. Humphries· 1 shared D. L. Mccartney· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCell Biology

T. Chandra

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Author profile →

2 papers

Recent·Most cited

Probabilistic inference of epigenetic age acceleration from cellular dynamics

J. K. Dabrowski, E. J. Yang, S. J. C. Crofts, R. F. Hillary, D. J. Simpson, D. L. Mccartney, R. E. Marioni, E. Latorre-Crespo, T. Chandra

The paper develops a probabilistic model to infer epigenetic age acceleration from cellular dynamics, identifying acceleration and bias as measurable components linked to physiological traits and genomic loci associated with ageing.

bioRxiv · Mar 1, 2023Cell Biology

Kidney single-cell atlas reveals myeloid heterogeneity in progression and regression of kidney disease.

B. R. Conway, E. D. O'Sullivan, C. Cairns, J. O'Sullivan, D. J. Simpson, A. Salzano, K. Connor, P. Ding, D. Humphries, K. Stewart, O. Teenan, N. C. Henderson, C. Benezech, P. Ramachandran, D. Ferenbach, , L. Denby

The paper uses scRNA-seq to study kidney disease progression and regression, identifying new myeloid cell subtypes and their roles in injury and repair.

bioRxiv · May 14, 2020Immunology