Author

P. Boyeau

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein sequence· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Gayoso· 1 shared J. Regier· 1 shared M. I. Jordan· 1 shared N. Yosef· 1 shared P.-Y. Chen· 1 shared R. Lopez· 1 shared S. Prillo· 1 shared X. Li· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCell Biology

A. Gayoso

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Author profile →

2 papers

Recent·Most cited

CherryML: Scalable Maximum Likelihood Estimation of Phylogenetic Models

S. Prillo, Y. Deng, P. Boyeau, X. Li, P.-Y. Chen, Y. S. Song

CherryML provides a scalable method for maximum likelihood estimation of phylogenetic models, achieving significant speedup in parameter estimation for molecular evolution.

Nature Methods · Jun 29, 2023Peer-reviewedEvolutionary Biology

Deep Generative Models for Detecting Differential Expression in Single Cells

P. Boyeau, R. Lopez, J. Regier, A. Gayoso, M. I. Jordan, N. Yosef

This paper introduces deep generative models for differential expression detection in scRNA-seq, showing improved performance over existing methods.

bioRxiv · Oct 4, 2019 · PreprintCell Biology