Quantifying Data Reuse in Proteomics Using PRIDE Downloads Statistics and a Semi-Supervised LLM-Based Framework.

Hewapathirana S, Bai J, Bandla C, Kamatchinathan S, Kundu DJ, John NS, Brown-Harry B, Madhusoodanan N, Duocastella JMR, Vizcaíno JA, Perez-Riverol Y

Open source

DOI: 10.1002/pmic.70200
Published: 2026 Oct 21
Container: Proteomics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/pmic.70200,
  title = {Quantifying Data Reuse in Proteomics Using PRIDE Downloads Statistics and a Semi-Supervised LLM-Based Framework.},
  author = {Hewapathirana S and Bai J and Bandla C and Kamatchinathan S and Kundu DJ and John NS and Brown-Harry B and Madhusoodanan N and Duocastella JMR and Vizcaíno JA and Perez-Riverol Y},
  year = {2026},
  journal = {Proteomics},
  doi = {10.1002/pmic.70200},
  url = {https://doi.org/10.1002/pmic.70200}
}

RIS

TY  - JOUR
TI  - Quantifying Data Reuse in Proteomics Using PRIDE Downloads Statistics and a Semi-Supervised LLM-Based Framework.
AU  - Hewapathirana S
AU  - Bai J
AU  - Bandla C
AU  - Kamatchinathan S
AU  - Kundu DJ
AU  - John NS
AU  - Brown-Harry B
AU  - Madhusoodanan N
AU  - Duocastella JMR
AU  - Vizcaíno JA
AU  - Perez-Riverol Y
PY  - 2026
JO  - Proteomics
DO  - 10.1002/pmic.70200
UR  - https://doi.org/10.1002/pmic.70200
ER  -

APA

S, H., J, B., C, B., S, K., DJ, K., NS, J., B, B., N, M., JMR, D., JA, V., & Y, P. (2026). Quantifying Data Reuse in Proteomics Using PRIDE Downloads Statistics and a Semi-Supervised LLM-Based Framework.. Proteomics. https://doi.org/10.1002/pmic.70200

Source records

pubmed · retrieved 2026-11-10T06:09:35.025Z