Causality and correlation analysis for deciphering the microbial interactions in activated sludge

Time series data has been considered to be a massive information provider for comprehending more about microbial dynamics and interaction, leading to a causality inference in a complex microbial community. Granger causality and correlation analysis have been investigated and applied for the construc...

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Detalles Bibliográficos
Autores principales: Cai, Weiwei, Han, Xiangyu, Sangeetha, Thangavel, Yao, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387910/
https://www.ncbi.nlm.nih.gov/pubmed/35992723
http://dx.doi.org/10.3389/fmicb.2022.870766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387910/
https://www.ncbi.nlm.nih.gov/pubmed/35992723
http://dx.doi.org/10.3389/fmicb.2022.870766

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