Author

Roxanne Larivière

McGill UniversityORCID 0000-0003-2968-738XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Edward A. FoniD· 2 shared Rhalena A. ThomasiD· 2 shared Andrea I. KrahniD· 1 shared Carol X.‐Q. CheniD· 1 shared Chanshaui Han· 1 shared Eddie CaiiD· 1 shared Emmanuelle NguyeniD· 1 shared Éric DeneaultiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Edward A. FonORCID

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2 papers

Recent·Most cited

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

𝕏 PostBluesky

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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