Author

Daniel M. Bean

King's College LondonORCID 0000-0002-8594-7804Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Organism:yeast· 1

Frequent Co-Authors

Alexandra Nunes· 1 shared Brian James GoodfellowiD· 1 shared Clive Stringer· 1 shared Daniel J. H. NightingaleiD· 1 shared James TeoiD· 1 shared Kathryn Susan LilleyiD· 1 shared Markus RalseriD· 1 shared Michael MüllederiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Alexandra Nunes

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintApr 26, 2019

A multi-omic analysis of optineurin proteinopathy in a yeast model suggests the involvement of lipid metabolism in Amyotrophic Lateral Sclerosis

Daniel M. Bean, Silvia Hnatova, Michael Mülleder…·Stephen G. Oliver

The paper uses a yeast model to analyze multi-omic data from OPTN overexpression, finding distinct genetic and metabolic responses to different ALS-linked genes.

1 citation

yeastmetabolomics

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedOct 2, 2017

Network analysis of patient flow in two UK acute care hospitals identifies key sub-networks for A&E performance

Daniel M. Bean, Clive Stringer, Neeraj Beeknoo…·Richard Dobson

This study analyzes patient flow networks in two UK hospitals to identify sub-networks linked to A&E performance, finding that 13-17% of edges account for 83-90% of flow and that clinical decision units correlate with better A&E outcomes.

28 citations

statistical modelbenchmarking

𝕏 PostBluesky