Author

John C Marioni

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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Bioinformatics· 1 Evolutionary Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Research Focus:differential expression· 2 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:mouse· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron TL Lun· 1 shared Catalina A Vallejos· 1 shared Detlev ArendtiD· 1 shared Hernando Martinez Vergara· 1 shared Kaia AchimiD· 1 shared Nils Eling· 1 shared Paola Yanina Bertucci· 1 shared Paul Collier· 1 shared

Activity by Year

2016-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Aaron TL Lun

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3 papers

Recent·Most cited

Whole-body single-cell sequencing of the Platynereis larva reveals a subdivision into apical versus non-apical tissues

Kaia Achim, Nils Eling, Hernando Martinez Vergara, Paola Yanina Bertucci, Thibaut Brunet, Paul Collier, Vladimir Benes, John C Marioni, Detlev Arendt

The paper uses single-cell sequencing to identify apical and non-apical tissue subdivisions in Platynereis larva.

bioRxiv · Jul 24, 2017 · PreprintEvolutionary Biology

Overcoming confounding plate effects in differential expression analyses of single-cell RNA-seq data

Aaron TL Lun, John C Marioni

The paper addresses plate effects in scRNA-seq differential expression analyses by summing counts across plates, improving specificity and maintaining statistical control.

Biostatistics · Feb 6, 2017Peer-reviewedBioinformatics

Beyond comparisons of means: understanding changes in gene expression at the single-cell level

Catalina A Vallejos, Sylvia Richardson, John C Marioni

This paper introduces a Bayesian hierarchical model to detect changes in gene expression beyond mean comparisons in scRNA-seq data, revealing differences in cell-to-cell heterogeneity.

bioRxiv · Jan 5, 2016Genomics