Author

Tamar Peleg

University of Delaware

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· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:protein sequence· 2 Approach:benchmark study· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Jason P. GleghorniD· 2 shared Logan P HalleeiD· 2 shared Colin Horger· 1 shared Luck Haviland· 1 shared Nikolaos RafailidisiD· 1 shared Nikolaos Rafailidis· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Jason P. GleghornORCID

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2 papers

Recent·Most cited

Protify: A Benchmarking Platform Revealing Task Dependence and Homology Leakage in Protein Language Model Evaluation

Nikolaos Rafailidis, Logan P Hallee, Tamar Peleg, Colin Horger, Luck Haviland, Jason P Gleghorn

Protify benchmarks protein language models across tasks and evaluation settings, revealing task dependence and homology leakage in model performance.

bioRxiv · Nov 5, 2026 · PreprintBioinformatics

Protein Language Models are Accidental Taxonomists

Logan Hallee, Tamar Peleg, Nikolaos Rafailidis, Jason P. Gleghorn

The paper shows that protein language models can exploit taxonomic information rather than true interaction features in PPI datasets, leading to inflated performance.

BMC Bioinformatics · Jun 12, 2026Peer-reviewedBioinformatics