Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning

Microorganisms play a vital role in maintaining the stability of the activated sludge (AS) ecosystem. Recent studies indicate that certain keystone taxa impact both composition and function, but independent of their abundance. However, an effective framework for identifying these taxa from numerous...

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Bibliographic Details
Main Author:	Sen Wang (135167) (author)
Other Authors:	Yong-Chao Wang (6931529) (author), Can Wang (157994) (author)
Published:	2025
Subjects:	Microbiology Ecology Sociology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified wastewater treatment systems wastewater treatment process recent studies indicate primary factors influencing bypassing network reconstruction algorithm effectively avoids throughput sequencing data deep learning framework throughput sequencing various samples various environmental tricky issue study introduces still lacking particularly without increased connectivity expeditious framework effective framework dissolved oxygen climatic conditions challenging task assemblage samples activated sludge
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Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning

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