Author

Michael Joseph White

University of OxfordORCID 0000-0001-5378-6359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Richard Peter OweniD· 3 shared Xin LüiD· 3 shared Benjamin Schuster‐BöckleriD· 2 shared David Tyler SeversoniD· 2 shared Adam A BaileyiD· 1 shared Angie GreeniD· 1 shared Barbara BradeniD· 1 shared Carlos Ruiz‐PuigiD· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Richard Peter OwenORCID

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3 papers

Recent·Most cited

BioinformaticseLifePeer-reviewedFeb 26, 2019

Motion Sensing Superpixels (MOSES): A systematic framework to quantify and discover cellular motion phenotypes

Felix Zhou, Carlos Ruiz‐Puig, Richard Peter Owen…·Xin Lü

MOSES quantifies cellular motion phenotypes across different epithelial cell types and identifies boundary formation changes in response to external stimuli.

22 citations

humanimaging

𝕏 PostBluesky

GeneticsbioRxivPreprintMay 2, 2018

Single cell RNA-seq reveals profound transcriptional similarity between Barretts esophagus and esophageal glands

Richard Peter Owen, Michael Joseph White, David Tyler Severson…·Xin Lü

The paper uses single-cell RNA-seq to compare Barretts esophagus with normal esophageal tissues, finding transcriptional similarities with esophageal cells but not with gastric or duodenal cells.

DOI 10.1101/313049

humanscRNA-seq

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BioinformaticsNature CommunicationsPeer-reviewedMar 22, 2018

BEARscc determines robustness of single-cell clusters using simulated technical replicates

David Tyler Severson, Richard Peter Owen, Michael Joseph White…·Benjamin Schuster‐Böckler

BEARscc improves single-cell RNA-seq clustering by simulating technical replicates using RNA spike-ins to reduce technical variance.

16 citations

scRNA-seqstatistical model

𝕏 PostBluesky