Author
Centre de recherche du CHU de Québec-Université LavalORCID 0000-0001-6205-888XUnclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Jordan Ortona, Mickaël Leclercq, Florence Roux‐Dalvai…·Arnaud Droit
PeptiDIA enhances peptide identification in fast-gradient DIA data using machine learning, improving identification depth by 25-34% in human and murine datasets.
Elloise Coyle, Antoine Lacombe-Rastoll, Florence Roux‐Dalvai…·Arnaud Droit
This paper presents a method combining DIA MS/MS and MS1-only spectra for rapid UTI pathogen identification, achieving high accuracy in both controlled and clinical samples.
Clarisse Gotti, Florence Roux‐Dalvai, Ève Bérubé…·Arnaud Droit
This paper develops a method combining LC-SRM and machine learning to rapidly identify and quantify bacterial pathogens in UTIs with high accuracy.
Sophiane Bouirdene, Mickaël Leclercq, Léopold Quitté…·Arnaud Droit
BioDiscViz provides visualization tools and consensus signature selection for BioDiscML results to improve model interpretation and usability.
Clarisse Gotti, Florence Roux‐Dalvai, Charles Joly-Beauparlant…·Arnaud Droit
The paper benchmarks DIA acquisition methods and software tools using a complex proteomic standard, identifying optimal workflows for LC-MS/MS proteomic analyses.