Author

Jo Spencer

King's College LondonORCID 0000-0002-7202-2431Unclaimed 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· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Francesca D. CiccarelliiD· 3 shared Amelia Acha‐SagredoiD· 2 shared Lucia MontorsiiD· 2 shared Manuel Rodriguez‐JustoiD· 2 shared Michele BortolomeazziiD· 2 shared Adam FreemaniD· 1 shared Aeman Zahra· 1 shared Ahmad Miremadi· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBioinformatics

Francesca D. CiccarelliORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologyNature CancerPeer-reviewedJan 3, 2025

Context-dependent effects of CDKN2A and other 9p21 gene losses during the evolution of oesophageal cancer

Piyali Ganguli, Celia De Los Angeles Colomina Basanta, Amelia Acha‐Sagredo…·Jo Spencer

The paper investigates how CDKN2A and other 9p21 gene losses influence oesophageal cancer progression, finding context-dependent effects on survival and immune infiltration.

28 citationstop 1%

humanbulk RNA-seq

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BioinformaticsBioinformaticsPeer-reviewedDec 1, 2023

Rarity: Discovering rare cell populations from single-cell imaging data

Kaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi…·Christopher Yau

Rarity improves the detection of rare cell populations in single-cell imaging data through a Bayesian latent variable model.

14 citations

spatial transcriptomicsstatistical model

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BioinformaticsNature CommunicationsPeer-reviewedFeb 9, 2022

A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially resolved tissue phenotypingat single-cell resolution.

Michele Bortolomeazzi, Lucia Montorsi, Damjan Temelkovski…·Francesca D. Ciccarelli

SIMPLI is a software tool for analyzing multiplexed imaging data to enable spatially resolved single-cell tissue phenotyping and marker expression quantification.

47 citations

imagingexperimental assay

𝕏 PostBluesky