Author

Nuha Bintayyash

University of ManchesterORCID 0000-0002-3860-7313Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alexis BoukouvalasiD· 1 shared James J. HensmaniD· 1 shared Magnus RattrayiD· 1 shared Sokratia GeorgakaiD· 1 shared St. JohniD· 1 shared Sumon AhmediD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Alexis BoukouvalasORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJun 30, 2021

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

Nuha Bintayyash, Sokratia Georgaka, St. John…·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.

48 citations

mousebulk RNA-seq