Author

Damjan Temelkovski

King's College LondonORCID 0000-0002-4499-0080Unclaimed 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:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:spatial domain detection· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Francesca D. CiccarelliiD· 2 shared Amelia Acha‐SagredoiD· 1 shared Christopher YauiD· 1 shared Elizabeth FoxalliD· 1 shared Gianluca BassoiD· 1 shared Jesper LagergreniD· 1 shared Jo SpenceriD· 1 shared Joel NulseniD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Francesca D. CiccarelliORCID

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2 papers

Recent·Most cited

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

Cancer BiologybioRxivPreprintOct 17, 2018

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

Thanos P. Mourikis, Lorena Benedetti, Elizabeth Foxall…·on behalf of the Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium

This study identifies patient-specific cancer genes in esophageal adenocarcinoma using machine learning, revealing recurrent process perturbations that suggest therapeutic targets.

DOI 10.1101/321612

humanwhole-exome sequencing

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