Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65

Reim T, Hartebrodt A, Blumenthal DB, Bernett J, List M (2025)

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2025

Journal

Bioinformatics Oxford University Press (OUP): Policy B - Oxford Open Option B

Publisher: Oxford University Press

Book Volume: 41

Pages Range: i590-i598

DOI: 10.1093/bioinformatics/btaf192

Open Access Link: https://doi.org/10.1093/bioinformatics/btaf192

Authors with CRIS profile

Anne Hartebrodt Professur für Biomedical Network Science David Blumenthal Professur für Biomedical Network Science

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Reim, T., Hartebrodt, A., Blumenthal, D.B., Bernett, J., & List, M. (2025). Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65. Bioinformatics, 41, i590-i598. https://doi.org/10.1093/bioinformatics/btaf192

MLA:

Reim, Timo, et al. "Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65." Bioinformatics 41 (2025): i590-i598.

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