Author

Mark Lawler

Queen's University BelfastORCID 0000-0002-3930-8470Unclaimed 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· 5 Assay:bulk RNA-seq· 4 Research Focus:differential expression· 4 Approach:statistical model· 4 Research Focus:database / resource· 2 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Philip D. DunneiD· 4 shared Raheleh AmirkhahiD· 3 shared Sudhir B. MallaiD· 3 shared Aideen E. RyaniD· 2 shared Andrew D. CampbelliD· 2 shared Courtney BulliD· 2 shared Keara L. RedmondiD· 2 shared Natalie C. FisheriD· 2 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersCancer Biology

Philip D. DunneORCID

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5 papers

Recent·Most cited

Cancer BiologyCommunications BiologyPeer-reviewedMay 26, 2026

Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state

Shania M. Corry, Svetlana S. Sakhnevych, Noha Ehssan Mohamed…·Philip D. Dunne

This study shows that poly(I:C) treatment in CMS4 colorectal tumors induces a pro-inflammatory, CMS1-like regenerative state and identifies biomarkers for predicting therapeutic response.

DOI 10.1038/s42003-026-10295-9

humanbulk RNA-seq

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Cancer BiologyScientific ReportsPeer-reviewedDec 4, 2024

Evaluation of Gene Set Enrichment Analysis (GSEA) tools highlights the value of single sample approaches over pairwise for robust biological discovery.

Courtney Bull, Ryan M. Byrne, Natalie C. Fisher…·Sudhir B. Malla

This study compares GSEA tools and finds single sample approaches better capture biological distinctions than pairwise methods in cancer recurrence analysis.

14 citations

humanbulk RNA-seq

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BioinformaticsDisease Models & MechanismsPeer-reviewedFeb 3, 2022

The Molecular Subtyping Resource (MouSR): a user-friendly tool for rapid biological discovery from human or mouse transcriptional data

Baharak Ahmaderaghi, Raheleh Amirkhah, James Jackson…·Philip D. Dunne

MouSR is an open-source tool for rapid transcriptomic analysis of human or mouse data, enabling biological discovery without programming expertise.

9 citations

humanmouse

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BioinformaticsNature GeneticsPeer-reviewedApr 1, 2020

A harmonized meta-knowledgebase of clinical interpretations of cancer genomic variants

Alex Handler Wagner, Brian Walsh, Georgia Mayfield…·Adam A. Margolin

The paper harmonizes clinical interpretations of cancer genomic variants across six knowledgebases, improving overlap and matching with patient cohorts.

164 citationstop 1%

humanwhole-exome sequencing

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BioinformaticsCancer ResearchPeer-reviewedFeb 13, 2019

ACE: A Workbench using Evolutionary Genetic Algorithms for analysing association in TCGA Data

Alan R. Gilmore, Matthew Alderdice, Kienan I. Savage…·Darragh G. McArt

ACE identifies correlations between clinical and genomic data in TCGA using an evolutionary algorithm for efficient analysis.

6 citations

humanbulk RNA-seq

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