Author

James J. Hensman

Amazon (United Kingdom)ORCID 0000-0002-4989-3589Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Alexis BoukouvalasiD· 2 shared Magnus RattrayiD· 2 shared Nuha BintayyashiD· 1 shared Sokratia GeorgakaiD· 1 shared St. JohniD· 1 shared Sumon AhmediD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Alexis BoukouvalasORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments

Nuha Bintayyash, Sokratia Georgaka, St. John, Sumon Ahmed, Alexis Boukouvalas, James J. Hensman, Magnus Rattray

The paper introduces GPcounts, a non-parametric method for modeling temporal and spatial counts data in RNA-seq using a negative binomial likelihood, showing improved performance over Gaussian and Poisson models.

Bioinformatics · Jun 30, 2021Peer-reviewedBioinformatics

BGP: Branched Gaussian processes for identifying gene-specific branching dynamics in single cell data

Alexis Boukouvalas, James J. Hensman, Magnus Rattray

BGP identifies gene-specific branching dynamics in single-cell data using a non-parametric model and demonstrates its effectiveness on synthetic and hematopoiesis data.

Genome biology · May 29, 2018Peer-reviewedBioinformatics