Author

Georgette Tanner

University of LeedsORCID 0000-0001-9706-3590Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Lucy F. SteadiD· 2 shared Shoaib AjaibiD· 2 shared Andrew J. BulpittiD· 1 shared Carolina Lascelles· 1 shared Chalmers Chi Cheng ChauiD· 1 shared Fabio MarcuccioiD· 1 shared Iain C. MacaulayiD· 1 shared Ian CarriD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Lucy F. SteadORCID

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2 papers

Recent·Most cited

BioinformaticsNeuro-OncologyPeer-reviewedJan 31, 2025

GBMPurity: A Machine Learning Tool for Estimating Glioblastoma Tumour Purity from Bulk RNA-seq Data

Morgan Thomas, Shoaib Ajaib, Georgette Tanner…·Lucy F. Stead

GBMPurity is a deep learning tool that estimates glioblastoma tumour purity from bulk RNA-seq data, outperforming existing methods and revealing subtype-specific purity patterns.

8 citations

humanbulk RNA-seq

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GenomicsScience AdvancesPeer-reviewedMar 6, 2024

Single Cell Track and Trace: live cell labelling and temporal transcriptomics via nanobiopsy.

Fabio Marcuccio, Chalmers Chi Cheng Chau, Georgette Tanner…·Paolo Actis

This paper introduces a method to profile the transcriptome of live cells over time, showing treatment induces transcriptionally stable cells in glioblastoma.

34 citationstop 3%

humanscRNA-seq

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