Modular and cloud-based bioinformatics pipelines for high-confidence biomarker detection in cancer immunotherapy clinical trials
This work establishes a scalable framework for harmonized multi-omic analyses, ensuring the continuity and reliability of bioinformatics workflows in multi-site clinical research aimed at advancing cancer biomarker discovery and personalized medicine.
Authors
- Cu Nguyen (ORCID: https://orcid.org/0000-0003-0588-5314)
- Nicholas Renzette
- Ümit Topaloĝlu (ORCID: https://orcid.org/0000-0002-3241-8773)
- Trinh Nguyen (ORCID: https://orcid.org/0000-0002-6606-6948)
- Daoud Meerzaman (ORCID: https://orcid.org/0000-0002-0129-5256)
- Gloria E. Trivitt
- Brian J. Capaldo (ORCID: https://orcid.org/0000-0003-1244-8884)
- Qingrong Chen (ORCID: https://orcid.org/0000-0003-1325-6147)
- Chunhua Yan
Institutions
- National Cancer Institute (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-08-26
- DOI
- https://doi.org/10.1371/journal.pone.0330827
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Institute
- Center for Biomedical Informatics and Information Technology, National Cancer Institute