Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge.
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| Title: | Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge. |
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| Authors: | Wang L; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China., Lu W; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China., Song Y; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China., Liu S; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China., Fu YV; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: fuyu@im.ac.cn. |
| Source: | Environmental research [Environ Res] 2024 Nov 01; Vol. 260, pp. 119635. Date of Electronic Publication: 2024 Jul 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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