Identifying heterogeneous subgroups of systemic autoimmune diseases by applying a joint dimension reduction and clustering approach to immunomarkers

Abstract Background The high complexity of systemic autoimmune diseases (SADs) has hindered precise management. This study aims to investigate heterogeneity in SADs. Methods We applied a joint cluster analysis, which jointed multiple correspondence analysis and k-means, to immunomarkers and measured...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Chia-Wei Chang, Hsin-Yao Wang, Wan-Ying Lin, Yu-Chiang Wang, Wei-Lin Lo, Ting-Wei Lin, Jia-Ruei Yu, Yi-Ju Tseng
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	BMC 2024-09-01
Σειρά:	BioData Mining
Θέματα:	Autoimmune diseases Immune markers Cluster analysis Disease heterogeneity
Διαθέσιμο Online:	https://doi.org/10.1186/s13040-024-00389-7
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