{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T10:23:17Z","timestamp":1787394197291,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T00:00:00Z","timestamp":1773360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,3,13]]},"DOI":"10.1145\/3809986.3809995","type":"proceedings-article","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T08:29:52Z","timestamp":1787387392000},"page":"55-60","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Classification and Prediction of Biological Data Using Supervised and Semi-Supervised Machine Learning Algorithms"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-2110-9949","authenticated-orcid":false,"given":"Tongtong","family":"Yang","sequence":"first","affiliation":[{"name":"College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6401-264X","authenticated-orcid":false,"given":"Lili","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5075-3123","authenticated-orcid":false,"given":"Xifeng","family":"Li","sequence":"additional","affiliation":[{"name":"College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7752-1769","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Life Science and Engineering, Northwest Minzu University, Lanzhou, Gansu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,22]]},"reference":[{"key":"e_1_3_3_1_1_2","first-page":"611","volume":"55","author":"Bustin S.A.","year":"2009","unstructured":"S.A. Bustin, et al., The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments, Clin. Chem. 55 (2009) 611\u2013622.","journal-title":"Chem."},{"key":"e_1_3_3_1_2_2","unstructured":"R.P. Iwari et al. Standardization of ELISA protocols for serosurveillance of infectious diseases Front. Immunol. 11 (2020) 561632."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"J. Jumper et al. Highly accurate protein structure prediction with AlphaFold Nature 596 (2021) 583\u2013589.","DOI":"10.1038\/s41586-021-03819-2"},{"issue":"3","key":"e_1_3_3_1_4_2","first-page":"350","volume":"17","author":"Y.","unstructured":"Wu, S., & Zhang, Y. (2007). Ab initio modeling of protein structures and interactions. Curr. Opin. Struct. Biol., 17(3), 350\u2013358.","journal-title":"Curr. Opin. Struct. Biol."},{"key":"e_1_3_3_1_5_2","volume-title":"Proc. 30th ACM Int. Conf. Inf. Knowl. Manag., 2419\u20132428","year":"2021","unstructured":"Elnaggar, A., Heinzinger, M., Dallago, C., et al. (2021). ProtBERT: A pre-trained language model for protein sequences. Proc. 30th ACM Int. Conf. Inf. Knowl. Manag., 2419\u20132428."},{"key":"e_1_3_3_1_6_2","first-page":"1017","volume":"12","author":"Alipanahi B.","year":"2015","unstructured":"B. Alipanahi, et al., Deep learning for genomics, Nat. Methods 12 (2015) 1017\u20131025.","journal-title":"Deep learning for genomics, Nat. Methods"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143865"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05855-6"},{"key":"e_1_3_3_1_9_2","first-page":"1073","volume-title":"Proceedings of IEEE International Conference on Neural Networks, IEEE","author":"Li X.","year":"2013","unstructured":"X. Li, J. Wang, Self-training for semi-supervised learning with deep neural networks, in: Proceedings of IEEE International Conference on Neural Networks, IEEE, Piscataway, 2013, pp. 1066\u20131073."},{"key":"e_1_3_3_1_10_2","first-page":"1565","volume":"25","author":"Kocarev L.","year":"2014","unstructured":"L. Kocarev, G. Bajaj, Co-training for semi-supervised learning: An empirical evaluation, IEEE Trans. Neural Netw. Learn. Syst. 25 (2014) 1565\u20131576.","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"e_1_3_3_1_11_2","first-page":"2981","volume":"29","author":"Chen X.","unstructured":"X. Chen, et al., Semi-supervised learning with deep generative models, in: Advances in Neural Information Processing Systems 29, 2016, pp. 2981\u20132989.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_12_2","first-page":"522","volume-title":"Proceedings of the 11th IEEE International Conference on Data Mining, IEEE","author":"Yang Y.","year":"2012","unstructured":"Y. Yang, S. Kuo, Semi-Supervised Learning with Graph-Based Methods for Classification, in: Proceedings of the 11th IEEE International Conference on Data Mining, IEEE, Piscataway, 2012, pp. 513\u2013522."},{"key":"e_1_3_3_1_13_2","first-page":"5908","volume-title":"Proceedings of the 37th International Conference on Machine Learning, PMLR","author":"Sohn K.","year":"2020","unstructured":"K. Sohn, et al., FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence, in: Proceedings of the 37th International Conference on Machine Learning, PMLR, 2020, pp. 5898\u20135908."},{"key":"e_1_3_3_1_14_2","unstructured":"M. Tahir M. Hayat K.T. Chong A comprehensive review of feature extraction methods for protein sequence classification Comput. Biol. Med. 137 (2021) 104787."},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_3_1_16_2","first-page":"D20","volume":"50","author":"Sayers E.W.","year":"2022","unstructured":"E.W. Sayers, et al., Database resources of the National Center for Biotechnology Information, Nucleic Acids Res. 50 (2022) D20\u2013D26.","journal-title":"Database resources of the National Center for Biotechnology Information, Nucleic Acids Res."},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"D. Chicco G. Jurman the advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation BMC Genomics 21 (2020) 6.","DOI":"10.1186\/s12864-019-6413-7"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"T. Saito M. Rehmsmeier The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets PLoS One 10 (2015) e0118432.","DOI":"10.1371\/journal.pone.0118432"},{"key":"e_1_3_3_1_19_2","first-page":"6256","volume":"33","author":"Xie Q.","unstructured":"Q. Xie, et al., Unsupervised Data Augmentation for Consistency Training, in: Advances in Neural Information Processing Systems 33, 2020, pp. 6256\u20136268.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2009.2029559"},{"key":"e_1_3_3_1_21_2","volume-title":"Random forests. Machine learning, 45(1), 5-32","author":"L.","year":"2001","unstructured":"Breiman, L. (2001). Random forests. Machine learning, 45(1), 5-32."}],"event":{"name":"BIC 2026: 2026 6th International Conference on Bioinformatics and Intelligent Computing","location":"Dongguan China","acronym":"BIC 2026"},"container-title":["Proceedings of the 2026 6th International Conference on Bioinformatics and Intelligent Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3809986.3809995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T09:28:13Z","timestamp":1787390893000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3809986.3809995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,13]]},"references-count":21,"alternative-id":["10.1145\/3809986.3809995","10.1145\/3809986"],"URL":"https:\/\/doi.org\/10.1145\/3809986.3809995","relation":{},"subject":[],"published":{"date-parts":[[2026,3,13]]},"assertion":[{"value":"2026-08-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}