Work

From visualization to prediction: Dissecting metabolic heterogeneity with DDRTree

Year: 2025

Type: article

Abstract: The discriminative dimensionality reduction tree (DDRTree) framework provides a powerful approach to unravel metabolic heterogeneity and delineate clinically relevant subtypes. In this issue, Qiu et al. 1 and Jia et al. 2 apply it to type 2 diabetes and obesity, identifying subtypes with distinct risk profiles. The discriminative dimensionality reduction tree (DDRTree) framework provides a powerful approach to unravel metabolic heterogeneity and delineate clinically relevant subtypes. In this issue, Qiu et al. and Jia et al. apply it to type 2 diabetes and obesity, identifying subtypes with distinct risk profiles.

Source: Cell Reports Medicine

DOI: 10.1016/j.xcrm.2025.102377

Authors: Yonghua Yu, Hong Lin

Institutions: Shanghai Jiao Tong University, Ruijin Hospital

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $5,620