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Zhang, Guohuan, Lin, Weinan, Gao, Ning, Lan, Changxin, Ren, Mengyuan, Yan, Lailai, Pan, Bo, Xu, Jia, Han, Bin, Hu, Ligang, Chen, Yuanchen, Wu, Tianxiang, Zhuang, Lili, Lu, Qun, Wang, Bin, Fang, Mingliang (2024) Using Machine Learning to Construct the Blood–Follicle Distribution Models of Various Trace Elements and Explore the Transport-Related Pathways with Multiomics Data. Environmental Science & Technology, 58 (18) 7743-7757 doi:10.1021/acs.est.3c10904

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Reference TypeJournal (article/letter/editorial)
TitleUsing Machine Learning to Construct the Blood–Follicle Distribution Models of Various Trace Elements and Explore the Transport-Related Pathways with Multiomics Data
JournalEnvironmental Science & Technology
AuthorsZhang, GuohuanAuthor
Lin, WeinanAuthor
Gao, NingAuthor
Lan, ChangxinAuthor
Ren, MengyuanAuthor
Yan, LailaiAuthor
Pan, BoAuthor
Xu, JiaAuthor
Han, BinAuthor
Hu, LigangAuthor
Chen, YuanchenAuthor
Wu, TianxiangAuthor
Zhuang, LiliAuthor
Lu, QunAuthor
Wang, BinAuthor
Fang, MingliangAuthor
Year2024 (May 7)Volume58
Issue18
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.est.3c10904Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17338052Long-form Identifiermindat:1:5:17338052:1
GUID0
Full ReferenceZhang, Guohuan, Lin, Weinan, Gao, Ning, Lan, Changxin, Ren, Mengyuan, Yan, Lailai, Pan, Bo, Xu, Jia, Han, Bin, Hu, Ligang, Chen, Yuanchen, Wu, Tianxiang, Zhuang, Lili, Lu, Qun, Wang, Bin, Fang, Mingliang (2024) Using Machine Learning to Construct the Blood–Follicle Distribution Models of Various Trace Elements and Explore the Transport-Related Pathways with Multiomics Data. Environmental Science & Technology, 58 (18) 7743-7757 doi:10.1021/acs.est.3c10904
Plain TextZhang, Guohuan, Lin, Weinan, Gao, Ning, Lan, Changxin, Ren, Mengyuan, Yan, Lailai, Pan, Bo, Xu, Jia, Han, Bin, Hu, Ligang, Chen, Yuanchen, Wu, Tianxiang, Zhuang, Lili, Lu, Qun, Wang, Bin, Fang, Mingliang (2024) Using Machine Learning to Construct the Blood–Follicle Distribution Models of Various Trace Elements and Explore the Transport-Related Pathways with Multiomics Data. Environmental Science & Technology, 58 (18) 7743-7757 doi:10.1021/acs.est.3c10904
In(2024, May) Environmental Science & Technology Vol. 58 (18) American Chemical Society (ACS)

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