Author

Alexandra Sexton‐Oates

World Health OrganizationORCID 0000-0002-3841-8758Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Assay:DNA methylation· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:multiome· 1

Frequent Co-Authors

Matthieu FolliD· 3 shared Nicolas AlcalaiD· 3 shared Alex Di GenovaiD· 2 shared Catherine VoegeleiD· 2 shared Lipika KalsoniD· 2 shared Lynnette Fernandez‐CuestaiD· 2 shared Émilie MathianiD· 1 shared Gabrielle DrevetiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Matthieu FollORCID

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3 papers

Recent·Most cited

PACMOS: an R package for Projection And Classification of Multi-Omic Samples

Lipika Kalson, Alexandra Sexton‐Oates, Gabrielle Drevet, Lynnette Fernandez-Cuesta, Matthieu Foll, Nicolas Alcala

PACMOS projects query cancer samples into pretrained MOFA latent factor spaces for classification.

bioRxiv · Jul 7, 2026 · PreprintBioinformatics

A multi-omic, spatial, and whole-slide image dataset of lung neuroendocrine tumours from the lungNENomics cohort

Lipika Kalson, Alexandra Sexton‐Oates, Émilie Mathian, Catherine Voegele, Alex Di Genova, Zhaozhi Li, Jaehee Kim, Leigh Matthew Marsh, Luka Brčić, Lynnette Fernandez‐Cuesta, Matthieu Foll, Nicolas Alcala

The paper presents a large multi-omic dataset of lung neuroendocrine tumours, including genomics, transcriptomics, methylation, spatial proteomics, and histopathology, enabling comprehensive molecular and morphological analysis.

bioRxiv · May 14, 2026 · PreprintBioinformatics

A molecular phenotypic map of Malignant Pleural Mesothelioma

Alex Di Genova, Lise Mangiante, Alexandra Sexton‐Oates, Catherine Voegele, Lynnette Fernandez‐Cuesta, Nicolas Alcala, Matthieu Foll

This paper presents a comprehensive molecular characterization of Malignant Pleural Mesothelioma using multi-omics data from 120 patients, integrating with existing datasets to create an interactive molecular phenotype map.

GigaScience · Dec 28, 2022Peer-reviewedGenomics