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A Framework Integrating Single-Cell Metallomic Data in Health Effect Analysis via Quantile Features and Machine Learning

Year: 2026

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.5c14405

Authors: Guohuan Zhang, Nian Liu, Xiangwei Tian, Yongguang Yin, Ligang Hu, Guibin Jiang

Institutions: Chinese Academy of Sciences, Sino-Danish Centre for Education and Research, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Jianghan University

Language: English

Topic: Heavy Metal Exposure and Toxicity

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China

Awards: G4102887174, G5287474254, G7943945995

OpenAlex ID: W7125188917

FWCI:

Cites: 57

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