title: Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences.
abstract: Microbes play an important role on human health, however, little is known on microbes in the past decades for the limitation of culture-based techniques. Recently, with the development of next-generation sequencing (NGS) technologies, it is now possible to sequence millions of sequences directly from environments samples, and thus it supplies us a sight to probe the hidden world of microbial communities and detect the associations between microbes and diseases. In the present work, we proposed a supervised learning-based method to mine the relationship between microbes and periodontitis with 16S rRNA sequences. The jackknife accuracy is 94.83% and it indicated the method can effectively predict disease status. These findings not only expand our understanding of the association between microbes and diseases but also provide a potential approach for disease diagnosis and forensics.
authors.affiliation: College of Automation, Northwestern Polytechnical University, Xi'an, 710072, China; Department of Biostatistics, Yale University, New Haven, CT 06510, USA.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.affiliation: College of Automation, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Yong-Mei
authors.initials: YM
authors.lastname: Cheng
authors.affiliation: College of Automation, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Shao-Wu
authors.initials: SW
authors.lastname: Zhang
authors.affiliation: College of Automation, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Quan
authors.initials: Q
authors.lastname: Pan
mesh_terms: D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D010518:Periodontitis / Q000382:microbiology*; D010641:Phenotype; D012336:RNA, Ribosomal, 16S / Q000737:chemistry*; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: D012336:RNA, Ribosomal, 16S