Author

D. J. Baker

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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Bioengineering· 1 Cell Biology· 1 Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

I. Sturmlechner· 2 shared A. d. Bruin· 1 shared A. N. Pena· 1 shared A. Ruta· 1 shared A. Tam· 1 shared A. Telatin· 1 shared B. A. Davies· 1 shared B. G. Childs· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCell Biology

I. Sturmlechner

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Author profile →

4 papers

Recent·Most cited

A hybrid and poly-polish workflow for the complete and accurate assembly of phage genomes: a case study of ten przondoviruses

C. K. A. Elek, T. L. Brown, T. Le Viet, R. Evans, D. J. Baker, A. Telatin, S. K. Tiwari, H. Al-Khanaq, G. Thilliez, R. A. Kingsley, L. J. Hall, M. A. Webber, E. M. Adriaenssens

This paper introduces HYPPA, a hybrid assembly workflow for phage genomes, demonstrating its ability to accurately assemble and correct phage genomes without laborious validation.

bioRxiv · Mar 9, 2023Microbiology

HD-PTP/PTPN23 hypomorphic mice display lipodystrophy

B. A. Davies, J. A. Payne, C. P. Martin, D. Schultz, B. G. Childs, C. Zhang, K. Jeganathan, I. Sturmlechner, T. A. White, A. d. Bruin, H. Chen, M. A. Davies, S. Jachim, N. K. LeBrasseur, R. C. Piper, , D. J. Katzmann

This study shows that hypomorphic HD-PTP/PTPN23 mice develop lipodystrophy and reduced adipogenesis, indicating HD-PTP's role in insulin signaling and fat accumulation.

bioRxiv · Aug 2, 2022 · PreprintCell Biology

Transfer learning of an in vivo-derived senescence signature identifies conserved and tissue-specific senescence across species and diverse pathologies

C. Cherry, J. I. Andorko, K. Krishnan, J. C. Mejias, H. H. Nguyen, K. B. Stivers, E. F. Gray-Gaillard, A. Ruta, N. Hamada, M. Hamada, I. Sturmlechner, S. Trewartha, J. H. Michel, L. D. Huyer, M. T. Wolf, , J. H. Elisseeff

The paper develops a transfer learning approach to identify senescent cells across species and tissues using an in vivo-derived gene expression signature, revealing conserved and tissue-specific senescence features.

bioRxiv · Mar 22, 2022 · PreprintBioengineering

Microclimates can be accurately predicted across ecologically important remote ecosystems

D. J. Baker, C. R. Dickson, D. M. Bergstrom, J. Whinam, I. M. Maclean, M. A. McGeoch

The paper predicts microclimate conditions across a remote polar island ecosystem using hybrid models, showing accurate results despite data source differences.

bioRxiv · Jan 14, 2021 · PreprintEcology