{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T10:20:51Z","timestamp":1789035651176,"version":"build-2803163510"},"reference-count":55,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T00:00:00Z","timestamp":1707264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Microbiol."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>The oral microbial group typically represents the human body\u2019s highly complex microbial group ecosystem. Oral microorganisms take part in human diseases, including Oral cavity inflammation, mucosal disease, periodontal disease, tooth decay, and oral cancer. On the other hand, oral microbes can also cause endocrine disorders, digestive function, and nerve function disorders, such as diabetes, digestive system diseases, and Alzheimer\u2019s disease. It was noted that the proteins of oral microbes play significant roles in these serious diseases. Having a good knowledge of oral microbes can be helpful in analyzing the procession of related diseases. Moreover, the high-dimensional features and imbalanced data lead to the complexity of oral microbial issues, which can hardly be solved with traditional experimental methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>To deal with these challenges, we proposed a novel method, which is oral_voting_transfer, to deal with such classification issues in the field of oral microorganisms. Such a method employed three features to classify the five oral microorganisms, including <jats:italic>Streptococcus mutans, Staphylococcus aureus<\/jats:italic>, abiotrophy adjacent, bifidobacterial, and <jats:italic>Capnocytophaga<\/jats:italic>. Firstly, we utilized the highly effective model, which successfully classifies the organelle\u2019s proteins and transfers to deal with the oral microorganisms. And then, some classification methods can be treated as the local classifiers in this work. Finally, the results are voting from the transfer classifiers and the voting ones.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results and discussion<\/jats:title><jats:p>The proposed method achieved the well performances in the five oral microorganisms. The oral_voting_transfer is a standalone tool, and all its source codes are publicly available at <jats:ext-link>https:\/\/github.com\/baowz12345\/voting_transfer<\/jats:ext-link>.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fmicb.2023.1277121","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T05:38:07Z","timestamp":1707284287000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":66,"title":["Oral_voting_transfer: classification of oral microorganisms\u2019 function proteins with voting transfer model"],"prefix":"10.3389","volume":"14","author":[{"given":"Wenzheng","family":"Bao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baitong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,2,7]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1007\/s11749-016-0484-4","article-title":"Comments on: A random forest guided tour","volume":"25","author":"Arlot","year":"2016","journal-title":"Test"},{"key":"B2","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1109\/TCBB.2019.2919025","article-title":"iPhosH-PseAAC: identify phosphohistidine sites in proteins by blending statistical moments and position relative features according to the Chou\u2019s 5-step rule and general pseudo amino acid composition.","volume":"18","author":"Awais","year":"2019","journal-title":"IEEE\/ACM Trans. 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