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Mathieu Lavallée-Adam

14PUBLICATIONS

39CO-AUTHORS

Biomolecular modelling and designProteins and peptidesInnate immunitySemi- and unsupervised learningMedical biochemistry - proteins and peptides (incl. medical proteomics)

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Publications (14)

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|Mar 11, 2025

TargetSeeker-MS: A Bayesian Inference Approach for Drug-Target Discovery Using Protein Fractionation Coupled to Mass Spectrometry.

Mathieu Lavallée-Adam, Alexander Pelletier, Jolene K Diedrich

|Jan 08, 2025

MAGPIE: A Machine Learning Approach to Decipher Protein-Protein Interactions in Human Plasma.

Emily Hashimoto-Roth, Diane Forget, Vanessa P Gaspar

|Nov 28, 2024

Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines.

Kevin A Kovalchik, David J Hamelin, Peter Kubiniok

|Oct 12, 2022

METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance.

Emily Hashimoto-Roth, Anuradha Surendra, Mathieu Lavallée-Adam

|Sep 23, 2021

Proximity Interactome Map of the Vac14-Fig4 Complex Using BioID.

Shirley Qiu, Mathieu Lavallée-Adam, Marceline Côté

|Jun 05, 2021

PIGNON: a protein-protein interaction-guided functional enrichment analysis for quantitative proteomics.

Rachel Nadeau, Anastasiia Byvsheva, Mathieu Lavallée-Adam

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Frequent Collaborators

4 joint publications

Salvador Martínez-Bartolomé

4 joint publications

John R Yates

3 joint publications

Daniel Figeys

2 joint publications

Tom Casimir Bamberger

1 joint publications

Miranda Montgomery

1 joint publications

Daniel B McClatchy

1 joint publications

Patrick Smyth

1 joint publications

Xu Zhang

1 joint publications

Sabrina Robichaud

1 joint publications

Esther Mak

Frequent Collaborators

4 joint publications

Salvador Martínez-Bartolomé

4 joint publications

John R Yates

3 joint publications

Daniel Figeys

2 joint publications

Tom Casimir Bamberger

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