Author

Eddie Cai

Montreal Neurological Institute and HospitalORCID 0000-0002-3341-9671Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Carol X.‐Q. CheniD· 3 shared Rhalena A. ThomasiD· 3 shared Thomas M. DurcaniD· 3 shared Edward A. FoniD· 2 shared Éric DeneaultiD· 2 shared Gilles MaussioniD· 2 shared Lenore K. BeiteliD· 2 shared Narges AbdianiD· 2 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersNeuroscience

Carol X.‐Q. ChenORCID

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3 papers

Recent·Most cited

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

Rhalena A. Thomas, Eddie Cai, Wolfgang Reintsch, Chanshaui Han, Sneha Shinde, Roxanne Larivière, Andrea I. Krahn, Carol X.‐Q. Chen, Emmanuelle Nguyen, Éric Deneault, Zhipeng You, Thomas M. Durcan, 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.

bioRxiv · Nov 23, 2023 · PreprintNeuroscience

Auto-qPCR: A Python based web app for automated and reproducible analysis of qPCR data

Gilles Maussion, Rhalena A. Thomas, Iveta Demirova, Gracia Gu, Eddie Cai, Carol X.‐Q. Chen, Narges Abdian, Theodore J. P. Strauss, Sabah Kelaï, Angela Nauleau-Javaudin, Lenore K. Beitel, Nicolás Ramoz, Philip A. P. M. Gorwood, Thomas M. Durcan

Auto-qPCR automates qPCR data analysis, reducing errors and time by providing a web-based tool for DNA quantification and gene expression analysis.

Scientific Reports · Oct 29, 2021Peer-reviewedMolecular Biology

Midbrain organoids with an SNCA gene triplication model key features of synucleinopathy

Nguyen‐Vi Mohamed, Julien Sirois, Janani Ramamurthy, Meghna Mathur, Paula Lépine, Éric Deneault, Gilles Maussion, Michaël Nicouleau, Carol X.‐Q. Chen, Narges Abdian, Vincent Soubannier, Eddie Cai, Harris Nami, Rhalena A. Thomas, Dingke Wen, , Thomas M. Durcan

This study uses midbrain organoids from SNCA triplication patients to model synucleinopathy features, showing increased alpha-synuclein expression and aggregation linked to dopaminergic neuron loss.

Brain Communications · Sep 23, 2021Peer-reviewedNeuroscience