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Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge.

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Bibliographic Details
Title: Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge.
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
Description
ISSN:1096-0953
DOI:10.1016/j.envres.2024.119635