Author

C. Saravanan

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 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

A. Aebi· 1 shared A. Doelemeyer· 1 shared A. Graff Meyer· 1 shared A. Osmont· 1 shared A. Piaia· 1 shared B. Fischer· 1 shared C. Genoud· 1 shared C. Penno· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPhysiology

A. Aebi

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Author profile →

2 papers

Recent·Most cited

Loss of hepatic Lgr4 and Lgr5 promotes nonalcoholic fatty liver disease

E. Saponara, C. Penno, M. L. Matadamas Guzman, V. Brun, B. Fischer, M. Brousseau, Z.-Y. Wang, P. ODonnell, J. Turner, A. Graff Meyer, L. Bollepalli, G. dArio, G. Roma, W. Carbone, V. Orsini, , H. Ruffner

This study shows that deleting Lgr4/5 in mouse livers disrupts Wnt/β-catenin signaling, leading to fatty liver disease and fibrosis.

bioRxiv · Nov 22, 2021Physiology

A deep learning-based model of normal histology

T. Sing, H. Hoefling, I. Hossain, J. Boisclair, A. Doelemeyer, T. Flandre, A. Piaia, V. Romanet, G. Santarossa, C. Saravanan, E. Sutter, O. Turner, K. Wuersch, P. Moulin

This paper develops deep learning models to characterize normal histology in rat tissues, showing they can detect abnormalities and generalize to other species.

bioRxiv · Dec 5, 2019 · PreprintPathology