Author

Thomas J. O’Neill

Helmholtz MunichORCID 0000-0003-2253-3118Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Organism:human· 1

Frequent Co-Authors

Daniel KrappmanniD· 2 shared Göksu AvariD· 2 shared Michael P. MendeniD· 2 shared Alexander J. OhnmachtiD· 1 shared Diyuan LuiD· 1 shared Ginte KutkaiteiD· 1 shared Marisa K. Schübel· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersCancer Biology

Daniel KrappmannORCID

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2 papers

Recent·Most cited

Cancer BiologyPLoS ONEPeer-reviewedMay 11, 2026

Systematic identification of pan-cancer single-gene expression biomarkers in drug high-throughput screens

Ginte Kutkaite, Göksu Avar, Diyuan Lu…·Michael P. Menden

The paper develops a regression framework to identify pan-cancer single-gene biomarkers of drug sensitivity in cell line screens, recovering known markers and identifying new ones for ERK/MAPK inhibitors.

DOI 10.1371/journal.pone.0330412

bulk RNA-seqstatistical model

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Cancer BiologybioRxivPreprintJan 16, 2024

The pharmacogenomic assessment of molecular epithelial-mesenchymal transition signatures reveals drug susceptibilities in cancer cell lines

Alexander J. Ohnmacht, Göksu Avar, Marisa K. Schübel…·Michael P. Menden

The paper assesses molecular EMT signatures in cancer cell lines to identify drug susceptibilities, showing EMT can predict responses to HSP90 inhibitors and enhance drug sensitivity through TGF-β stimulation.

2 citations

humanbulk RNA-seq

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