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Phenotype similarities in automatically grouped T2D patients by variation-based clustering of IL-1β gene expression
BACKGROUND: Analyzing longitudinal gene expression data is extremely challenging due to limited prior information, high dimensionality, and heterogeneity. Similar difficulties arise in research of multifactorial diseases such as Type 2 Diabetes. Clustering methods can be applied to automatically gro...
Autores principales: | Pantazis, Lucio José, Frechtel, Gustavo Daniel, Cerrone, Gloria Edith, García, Rafael, Iglesias Molli, Andrea Elena |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Communications and Publications Division (CPD) of the IFCC
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588079/ https://www.ncbi.nlm.nih.gov/pubmed/37868088 |
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