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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yingzhuo Wei Shaowu Zhang Chunhui Zhao Feng Yang Quan Pan |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute of Control and Information, School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China (Yingzhuo Wei; Shaowu Zhang; Chunhui Zhao; Feng Yang; Quan Pan) |
| Abstract | Microbes found on the skin are usually regarded as pathogens, potential pathogens or innocuous symbiotic organisms. Advances in microbiology and immunology are revising our understanding of the molecular mechanisms of microbial virulence and the specific events involved in the host-microbe interaction. A microbial community similarity function of skin sites was defined to analysis the topographical diversity of microbial community in this paper. We found that the moist skin sites and sebaceous skin sites easily group together respectively with furthest-neighbor clustering algorithm, which shows that the moist skin sites and sebaceous skin sites have their respective microenvironments. We also introduced a bipartite network modeling method and network aligning algorithm. The network analysis revealed that the microbial species of moist skin sites is more than that of sebaceous skin sites, and resampled volunteers were more like themselves over time than they were like other volunteers. These results show that our network analysis methods are effective for researching the complexity and stability of the human skin microbial community |
| Starting Page | 119 |
| Ending Page | 123 |
| File Size | 461652 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424483037 |
| e-ISBN | 9781424483044 |
| DOI | 10.1109/BIBMW.2010.5703784 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Microorganisms Communities Humans Clustering algorithms human skin microbial community similarity Skin network aligning Bioinformatics microenvironments bipartite network modeling |
| Content Type | Text |
| Resource Type | Article |
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