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The study of potential associations between miRNAs and diseases will contribute to a profound understanding of the mechanism of disease development, as well as human disease prevention and treatment. MiRNA\u2013disease associations predicted by computational methods are the best complement to biological experiments.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this research, a federated computational model KATZNCP was proposed on the basis of the KATZ algorithm and network consistency projection to infer the potential miRNA\u2013disease associations. In KATZNCP, a heterogeneous network was initially constructed by integrating the known miRNA\u2013disease association, integrated miRNA similarities, and integrated disease similarities; then, the KATZ algorithm was implemented in the heterogeneous network to obtain the estimated miRNA\u2013disease prediction scores. Finally, the precise scores were obtained by the network consistency projection method as the final prediction results. KATZNCP achieved the reliable predictive performance in leave-one-out cross-validation (LOOCV) with an AUC value of 0.9325, which was better than the state-of-the-art comparable algorithms. Furthermore, case studies of lung neoplasms and esophageal neoplasms demonstrated the excellent predictive performance of KATZNCP.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>A new computational model KATZNCP was proposed for predicting potential miRNA\u2013drug associations based on KATZ and network consistency projections, which can effectively predict the potential miRNA\u2013disease interactions. Therefore, KATZNCP can be used to provide guidance for future experiments.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12859-023-05365-2","type":"journal-article","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T12:52:49Z","timestamp":1685710369000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["KATZNCP: a miRNA\u2013disease association prediction model integrating KATZ algorithm and network consistency projection"],"prefix":"10.1186","volume":"24","author":[{"given":"Min","family":"Chen","sequence":"first","affiliation":[]},{"given":"Yingwei","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Zejun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yifan","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Ziyi","family":"He","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,2]]},"reference":[{"issue":"1","key":"5365_CR1","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.1093\/nar\/gkt1023","volume":"42(Database iss","author":"Y Li","year":"2014","unstructured":"Li Y, Qiu C, Tu J, Geng B, Yang J, Jiang T, Cui Q. 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