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Keywords

Metabolomics, Machine learning

Countries

China

Activities

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Works (4)

Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles

Science Advances
2021-05-28 | Journal article
DOI: 10.1126/sciadv.abf4130
Contributors: Fubo Yu; Changhong Wei; Peng Deng; Ting Peng; Xiangang Hu
Source: check_circle
Crossref

Predicting nanotoxicity by an integrated machine learning and metabolomics approach

Environmental Pollution
2020-12 | Journal article
DOI: 10.1016/j.envpol.2020.115434
Contributors: Ting Peng; Changhong Wei; Fubo Yu; Jing Xu; Qixing Zhou; Tonglei Shi; Xiangang Hu
Source: check_circle
Crossref

Machine learning predicts the functional composition of the protein corona and the cellular recognition of nanoparticles

Proceedings of the National Academy of Sciences
2020-05-12 | Journal article
DOI: 10.1073/pnas.1919755117
Contributors: Zhan Ban; Peng Yuan; Fubo Yu; Ting Peng; Qixing Zhou; Xiangang Hu
Source: check_circle
Crossref

Phytotoxicity induced by engineered nanomaterials as explored by metabolomics: Perspectives and challenges

Ecotoxicology and Environmental Safety
2019-11 | Journal article
DOI: 10.1016/j.ecoenv.2019.109602
Part of ISSN: 0147-6513
Source: Self-asserted source
ting peng
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