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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pantazis, Lucio José, Frechtel, Gustavo Daniel, Cerrone, Gloria Edith, García, Rafael, Iglesias Molli, Andrea Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Communications and Publications Division (CPD) of the IFCC 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588079/
https://www.ncbi.nlm.nih.gov/pubmed/37868088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588079/
https://www.ncbi.nlm.nih.gov/pubmed/37868088

Ejemplares similares