Identifying heterogeneous subgroups of systemic autoimmune diseases by applying a joint dimension reduction and clustering approach to immunomarkers
The immunomarker-driven clustering method could recognise more clinically relevant subgroups of the SADs and would provide a more precise diagnosis basis.
Authors
- Hsin‐Yao Wang (ORCID: https://orcid.org/0000-0001-5581-6793)
- Wei-Lin Lo
- Jia-Ruei Yu (ORCID: https://orcid.org/0000-0002-3260-4269)
- Yi‐Ju Tseng (ORCID: https://orcid.org/0000-0002-1814-5553)
- Yu-Chiang Wang (ORCID: https://orcid.org/0000-0003-2821-5022)
- Chia-Wei Chang (ORCID: https://orcid.org/0000-0003-0972-9802)
- Ting‐Wei Lin (ORCID: https://orcid.org/0000-0001-9594-8854)
- Wan-Ying Lin
Institutions
- University of Hawaiʻi at Mānoa (US)
- Brigham and Women's Hospital (US)
- Boston Children's Hospital (US)
- National Yang Ming Chiao Tung University (TW)
- National Tsing Hua University (TW)
- University of California San Diego (US)
- Queen's Medical Center (US)
- Keelung Chang Gung Memorial Hospital (TW)
- Linkou Chang Gung Memorial Hospital (TW)
Publication Details
- Journal
- BioData Mining
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1186/s13040-024-00389-7
- Citations
- 1
- Primary Topic
- Systemic Lupus Erythematosus Research
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- Chang Gung Memorial Hospital
- Shanghai Educational Development Foundation
- Ministry of Education, India
- Chang Gung Medical Foundation
- National Science and Technology Council