Author

Grzegorz Preibisch

Deepflare (Poland)

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Anna GambiniD· 1 shared Balyn W. ZaroiD· 1 shared Michał Tyrolski· 1 shared Piotr Grzegorczyk· 1 shared Piotr KucharskiiD· 1 shared Sangwoo Kim· 1 shared Stanisław GizińskiiD· 1 shared Sungho MooniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Anna GambinORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Resolution of recursive data corruption to transform T-cell epitope discovery

Grzegorz Preibisch, Michał Tyrolski, Piotr Kucharski, Stanisław Giziński, Piotr Grzegorczyk, Sungho Moon, Sangwoo Kim, Balyn W. Zaro, Anna Gambin

The paper identifies methodological errors in epitope discovery that inflate in silico benchmarks and introduces a model trained on clean data that outperforms existing methods.

bioRxiv · Apr 2, 2026 · PreprintBioinformatics