Author

Jamie L. Ifkovits

GlaxoSmithKline (United States)

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 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Adrià Dangla-VallsiD· 1 shared Alejo J. Nevado‐HolgadoiD· 1 shared Andrey KormilitziniD· 1 shared Cuong Q. NguyeniD· 1 shared Elena M. RibéiD· 1 shared Francesca J. NichollsiD· 1 shared Helen A. Rowland· 1 shared Noel J. BuckleyiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adrià Dangla-VallsORCID

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Author profile →

1 paper

Recent·Most cited

Deep learning-based cell profiling based on neuronal morphology

Qiang Liu, Francesca J. Nicholls, Helen A. Rowland, Adrià Dangla-Valls, Shuhan Li, Yi Zhang, Piotr Kalinowski, Elena M. Ribé, Jamie L. Ifkovits, Sanjay Kumar, Cuong Q. Nguyen, Alejo J. Nevado‐Holgado, Noel J. Buckley, Andrey Kormilitzin

This study uses deep learning to profile neuronal morphology changes caused by Aβ1-42, achieving higher accuracy than traditional feature-based methods.

bioRxiv · Jul 23, 2023 · PreprintBioinformatics