Author

Roxanne Larivière

Montreal Neurological Institute and HospitalORCID 0000-0003-2968-738XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Edward A. FoniD· 3 shared Rhalena A. ThomasiD· 3 shared Carol X.‐Q. CheniD· 2 shared Jean‐François TrempeiD· 2 shared Thomas M. DurcaniD· 2 shared Wolfgang ReintschiD· 2 shared Amitha MuraleedharaniD· 1 shared Andrea I. KrahniD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersCell Biology

Edward A. FonORCID

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3 papers

Recent·Most cited

Cell BiologyCommunications BiologyPeer-reviewedOct 6, 2025

A genome-wide CRISPR/Cas9 screen identifies genes that regulate the cellular uptake of α-synuclein fibrils by modulating heparan sulfate proteoglycans

Benoît Vanderperre, Amitha Muraleedharan, Marie‐France Dorion…·Edward A. Fon

This study uses CRISPR/Cas9 screening to identify genes regulating α-synuclein fibril uptake via heparan sulfate proteoglycans, revealing SLC39A9 and C3orf58 as key modulators.

18 citationstop 2%

humangenetic perturbation / CRISPR

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NeurosciencebioRxivPreprintNov 23, 2023

A deep learning convolutional neural network distinguishes neuronal models of Parkinson's disease from matched controls

Rhalena A. Thomas, Eddie Cai, Wolfgang Reintsch…·Edward A. Fon

This study uses a convolutional neural network to classify Parkinson's disease models from control cells with high accuracy using microscopy images.

1 citation

humanimaging

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Genetic & Genomic MedicinemedRxivPreprintJun 20, 2023

Identification of novel variants, genes and pathways potentially linked to Parkinson's disease using machine learning

Eric Yu, Roxanne Larivière, Rhalena A. Thomas…·Ziv Gan‐Or

The paper uses machine learning to identify candidate genes, variants, and pathways potentially linked to Parkinson's disease from GWAS loci and genomic data.

3 citations

humanGWAS summary statistics

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