Author

Scott J. Tebbutt

University of British ColumbiaORCID 0000-0002-7908-1581Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1

Frequent Co-Authors

Amrit SinghiD· 3 shared Bruce M. McManusiD· 3 shared Casey P. ShannoniD· 2 shared Raymond T. NgiD· 2 shared Virginia CheniD· 2 shared Zsuzsanna HollanderiD· 2 shared Anita Jane CampbelliD· 1 shared Basam Elgamoudi· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBioinformatics

Amrit SinghORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 6, 2026

Circulating miR-4532 is associated with loss of ambulation in dysferlinopathy

Tajveer Singh Grewal, Zsuzsanna Hollander, Darlene L. Y. Dai…·Amrit Singh

The paper identifies miR-4532 as a circulating miRNA associated with ambulatory status in dysferlinopathy, showing differential expression between ambulatory and non-ambulatory patients.

DOI 10.64898/2026.01.05.697793

humanbulk RNA-seq

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Systems BiologybioRxivPreprintNov 19, 2025

Spatiotemporal-multimodal integration reveals BCG-induced skin-blood crosstalk

Amrit Singh, Ole Bæk, Frederik Schaltz‐Buchholzer…·Nelly Amenyogbe

This study integrates spatiotemporal data from skin and blood to reveal BCG-induced molecular networks and predictive biomarkers of vaccine response.

DOI 10.1101/2025.11.19.689184

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintMay 5, 2020

Omics BioAnalytics: Reproducible Research using R Shiny and Alexa

Amrit Singh, Scott J. Tebbutt, Bruce M. McManus

The paper introduces a web framework for omics data analysis using R Shiny and Amazon Alexa, enabling interactive exploration and hypothesis generation for health and disease biomarkers.

DOI 10.1101/2020.05.05.024323

experimental assaysoftware / tool

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BioinformaticsbioRxivFeb 3, 2016

A novel approach to identifying marker genes and estimating the cellular composition of whole blood from gene expression profiles

Casey P. Shannon, Robert Balshaw, Virginia Chen…·Scott J. Tebbutt

This paper introduces a multi-response Gaussian model to predict peripheral whole blood composition from Affymetrix Gene ST expression profiles, outperforming existing methods on this platform.

DOI 10.1186/s12864-016-3460-1

humanbulk RNA-seq

𝕏 PostBluesky