Author

L. Perrard

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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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

A. Diallo· 1 shared B. Christensen· 1 shared F. Kolling· 1 shared G. Srinivasan· 1 shared G. Tsongalis· 1 shared J. Levy· 1 shared L. Salas· 1 shared L. Vaickus· 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 paperPathology

A. Diallo

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1 paper

Recent·Most cited

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

G. Srinivasan, M. Davis, M. LeBoeuf, M. Fatemi, Z. Azher, Y. Lu, A. Diallo, M. Montivero, F. Kolling, L. Perrard, L. Salas, B. Christensen, S. Palisoul, G. Tsongalis, L. Vaickus, , J. Levy

This paper develops machine learning models to infer spatial transcriptomics data from H&E-stained skin slides, improving the assessment of photoaging and its therapeutic implications.

bioRxiv · Jul 30, 2023 · PreprintPathology