Abstract
The human oral cavity is an important habitat of microbes in the human body. It includes the colonization of various microorganisms such as bacteria, archaea, fungi, protozoa and viruses. Although oral diseases have been studied for decades, we have limited understanding of the boundaries of a healthy oral ecosystem and ecological shift toward dysbiosis. Here, we analyzed salivary microbiomes from 268 healthy adults after overnight fasting. The microbiome data set is firstly divided into five sample clusters based on the similarity pattern of microbial abundance. For each cluster, the correlation networks among salivary bacteria are constructed based on an ensemble of six correlations and two dissimilarity measure. The stability and specificity of modularity in the five microbial networks are investigated. The existences of conserved and changing modules were found across five microbial correlation networks.
| Original language | English |
|---|---|
| Title of host publication | Unknown |
| Publisher | IEEE |
| Pages | 2048-2053 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5090-3050-7 |
| DOIs | |
| Publication status | Published (in print/issue) - 2017 |
| Event | 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Kansas City, MO, USA Duration: 16 Nov 2017 → … |
Conference
| Conference | 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
|---|---|
| Period | 16/11/17 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Correlation
- Correlation coefficient
- Random variables
- Microwave integrated circuits
- Microorganisms
- Covariance matrices
- Probability distribution
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