Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer
This systems modeling workflow can be a valuable method for KDD, facilitating knowledge discovery in translational targets in general, and in particular to PADA in this case.
Authors
- Caroline S. Verbeke (ORCID: https://orcid.org/0000-0002-1111-9715)
- Gunnar Qvigstad
- Nan T. Skogaker
- Lars Hagen (ORCID: https://orcid.org/0000-0002-7291-611X)
- Manoj Amrutkar (ORCID: https://orcid.org/0000-0002-1868-0249)
- Animesh Sharma (ORCID: https://orcid.org/0000-0002-8791-4635)
- Hanne-Line Rabben
- Surinder K. Batra (ORCID: https://orcid.org/0000-0001-9470-9317)
- Mathilde Resell
- Timothy C. Wang (ORCID: https://orcid.org/0000-0001-5730-3019)
- Duan Chen (ORCID: https://orcid.org/0000-0003-3429-4580)
- Linh Hoang (ORCID: https://orcid.org/0000-0001-8430-5722)
- Anil K. Rustgi (ORCID: https://orcid.org/0000-0002-5877-7993)
- Chun‐Mei Zhao (ORCID: https://orcid.org/0009-0001-3559-3884)
- Mattias Svensson (ORCID: https://orcid.org/0000-0003-1695-7934)
- Anne Aarvik
- Elisabeth Pimpisa Graarud
Institutions
- Oslo University Hospital (NO)
- University of Oslo (NO)
- Norwegian University of Science and Technology (NO)
- Columbia University Irving Medical Center (US)
- Central Norway Regional Health Authority (NO)
- St Olav's University Hospital (NO)
Publication Details
- Journal
- Proteomes
- Published
- 2025-05-29
- DOI
- https://doi.org/10.3390/proteomes13020020
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00