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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...
Autores principales: | Cai, Weiwei, Han, Xiangyu, Sangeetha, Thangavel, Yao, Hong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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