Author

Thomas House

University of ManchesterORCID 0000-0001-5835-8062Unclaimed 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 type annotation· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alex A KochiD· 1 shared Andrew S. I. LoudoniD· 1 shared Antony D. AdamsoniD· 1 shared Carrie L. PartchiD· 1 shared David G. SpilleriD· 1 shared Ian HalliD· 1 shared James BagnalliD· 1 shared Jennifer L. FribourghiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Alex A KochORCID

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2 papers

Recent·Most cited

BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedMar 13, 2024

Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods

Roberto Cahuantzi, Katrina Lythgoe, Ian Hall…·Thomas House

This paper develops scalable machine learning methods to identify significant SARS-CoV-2 lineages from genomic data, offering a complementary approach to traditional phylogenetic analysis.

4 citations

viruswhole-genome sequencing

𝕏 PostBluesky

Systems BiologyeLifePeer-reviewedMar 14, 2022

Quantification of circadian interactions and protein abundance defines a mechanism for operational stability of the circadian clock

James Bagnall, Alex A Koch, Nicola Jane Smyllie…·Andrew S. I. Loudon

The paper quantifies circadian interactions and protein abundance to reveal mechanisms maintaining the circadian clock's operational stability.

39 citationstop 5%

mouseprotein structure

𝕏 PostBluesky