Author

Alexandre Marchal

Centre National de la Recherche ScientifiqueORCID 0000-0002-2865-9865Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:mixed model· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Carl D. SchlichtingiD· 1 shared Catherine Trottier· 1 shared Daniele RaimondiiD· 1 shared Facundo MuñoziD· 1 shared Frédéric Millier· 1 shared Leopoldo SáncheziD· 1 shared Luc E. PâquesiD· 1 shared Philippe BalandieriD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Carl D. SchlichtingORCID

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2 papers

Recent·Most cited

pyreml: a general-purpose, GPU-accelerated mixed model solver in Python

Alexandre Marchal, Catherine Trottier, Xavier Bry, Daniele Raimondi

pyreml is a GPU-accelerated Python library for linear mixed models that outperforms existing closed-source REML software in speed and functionality.

bioRxiv · Oct 24, 2026 · PreprintBioinformatics

Deciphering hybrid larch reaction norms using random regression

Alexandre Marchal, Carl D. Schlichting, Rémy Gobin, Philippe Balandier, Frédéric Millier, Facundo Muñoz, Luc E. Pâques, Leopoldo Sánchez

This study uses random regression to analyze reaction norms of hybrid larch traits in response to water availability, finding hybrids to be more plastic than parental species.

G3 Genes Genomes Genetics · Oct 17, 2018Peer-reviewedGenetics