Author

Paul Smyth

GlaxoSmithKline (Belgium)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Postelnicu· 1 shared Ahmed EssaghiriD· 1 shared Alexandru Ghita· 1 shared Anjana SinghiD· 1 shared Caleb M. RadensiD· 1 shared Gurpreet SinghiD· 1 shared Ioan IeremieiD· 1 shared Jenessa Lancaster· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

A. Postelnicu

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2 papers

Recent·Most cited

Pan-cell-type prediction of splicing patterns from sequence and splicing factor expression

Kalin Vetsigian, Jenessa Lancaster, Ioan Ieremie, Caleb M. Radens, Paul Smyth, Stephen Young

The paper introduces PanExonNet, a deep learning framework that predicts splicing patterns by integrating sequence and splicing factor expression, showing improved context specificity and generalization to new cell types.

bioRxiv · Feb 19, 2026 · PreprintGenomics

T-cell receptor specific protein language model for prediction and interpretation of epitope binding (ProtLM.TCR)

Ahmed Essaghir, Nanda Kumar Sathiyamoorthy, Paul Smyth, A. Postelnicu, Stefan Ghiviriga, Alexandru Ghita, Anjana Singh, Shruthi Kapil, Sanjay Kumar Phogat, Gurpreet Singh

The paper introduces ProtLM.TCR, a TCR-specific language model for predicting TCR-epitope binding and shows it outperforms BLOSUM scores and hand-crafted embeddings.

bioRxiv · Nov 28, 2022 · PreprintBioinformatics