{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:13:29Z","timestamp":1742937209964,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030845315"},{"type":"electronic","value":"9783030845322"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-84532-2_47","type":"book-chapter","created":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T23:04:24Z","timestamp":1628463864000},"page":"522-535","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association"],"prefix":"10.1007","author":[{"given":"Ming-Wen","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yu-Tian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhen","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jian-Cheng","family":"Ni","sequence":"additional","affiliation":[]},{"given":"Chun-Hou","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,9]]},"reference":[{"key":"47_CR1","doi-asserted-by":"crossref","unstructured":"Ambros, V.: microRNAs: tiny regulators with great potential 107(7), 823\u2013826 (2001)","DOI":"10.1016\/S0092-8674(01)00616-X"},{"issue":"7006","key":"47_CR2","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1038\/nature02871","volume":"431","author":"V Ambros","year":"2004","unstructured":"Ambros, V.: The functions of animal microRNAs. Nature 431(7006), 350\u2013355 (2004)","journal-title":"Nature"},{"key":"47_CR3","doi-asserted-by":"crossref","unstructured":"Ibrahim, R., Yousri, N.A., Ismail, M.A., Elmakky, N.M.: miRNA and gene expression basedcancer classification using self-learning and co-training approaches. In: IEEE International Conference on Bioinformatics and Biomedicine, pp. 495\u2013498 (2014)","DOI":"10.1109\/BIBM.2013.6732544"},{"issue":"4","key":"47_CR4","doi-asserted-by":"publisher","first-page":"817","DOI":"10.3892\/ol.2012.810","volume":"4","author":"Y Katayama","year":"2012","unstructured":"Katayama, Y., Maeda, M.: Identification of pathogenesis-related microRNAs in hepatocellular carcinoma by expression profiling. Oncol. Lett. 4(4), 817\u2013832 (2012)","journal-title":"Oncol. Lett."},{"key":"47_CR5","doi-asserted-by":"crossref","unstructured":"Meister, G., Tuschl, T.: Mechanisms of gene silencing by double-stranded RNA. Nature 431(7006), 343\u2013349, 16\u201319 (2004)","DOI":"10.1038\/nature02873"},{"issue":"4","key":"47_CR6","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1109\/TITB.2009.2018115","volume":"13","author":"CH Zheng","year":"2019","unstructured":"Zheng, C.H., Huang, D.S.: Tumor clustering using nonnegative matrix factorization with gene selection. IEEE Trans. Inf Technol. Biomed. 13(4), 599\u2013607 (2019)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"issue":"10","key":"47_CR7","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.tig.2008.07.004","volume":"24","author":"P Sethupathy","year":"2008","unstructured":"Sethupathy, P., Collins, F.S.: MicroRNA target site polymorphisms and human disease. Trends Genet. 24(10), 489\u2013497 (2008)","journal-title":"Trends Genet."},{"key":"47_CR8","doi-asserted-by":"crossref","unstructured":"Li, J., et al.: Evidence for positive selection on a number of MicroRNA regulatory interactions during recent human evolution. Plos Genet. 8(3), e1002578\u2013e1002590 (2012)","DOI":"10.1371\/journal.pgen.1002578"},{"issue":"12","key":"47_CR9","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1038\/ng1910","volume":"38","author":"K Chen","year":"2006","unstructured":"Chen, K., Rajewsky, N.: Natural selection on human microRNA binding sites inferred from SNP data. Nat. Genet. 38(12), 1452\u20131456 (2006)","journal-title":"Nat. Genet."},{"issue":"13","key":"47_CR10","doi-asserted-by":"publisher","first-page":"1644","DOI":"10.1093\/bioinformatics\/btq241","volume":"26","author":"D Wang","year":"2010","unstructured":"Wang, D., Wang, J.: Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases. Bioinformatics 26(13), 1644\u20131650 (2010)","journal-title":"Bioinformatics"},{"issue":"2","key":"47_CR11","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1093\/bib\/bbx130","volume":"20","author":"X Chen","year":"2019","unstructured":"Chen, X., Xie, D.: MicroRNAs and complex diseases: from experimental results to computational models[J]. Brief. Bioinform. 20(2), 515\u2013539 (2019)","journal-title":"Brief. Bioinform."},{"issue":"40","key":"47_CR12","doi-asserted-by":"publisher","first-page":"65257","DOI":"10.18632\/oncotarget.11251","volume":"7","author":"X Chen","year":"2016","unstructured":"Chen, X., Yan, C.C.: HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction. Oncotarget 7(40), 65257\u201365269 (2016)","journal-title":"Oncotarget"},{"issue":"8","key":"47_CR13","doi-asserted-by":"publisher","first-page":"e1006418","DOI":"10.1371\/journal.pcbi.1006418","volume":"14","author":"X Chen","year":"2018","unstructured":"Chen, X., Yin, J.: MDHGI: matrix decomposition and heterogeneous graph inference for miRNA-disease association prediction. PLoS Comput. Biol. 14(8), e1006418\u2013e1006442 (2018)","journal-title":"PLoS Comput. Biol."},{"issue":"7","key":"47_CR14","doi-asserted-by":"publisher","first-page":"e1007209","DOI":"10.1371\/journal.pcbi.1007209","volume":"15","author":"X Chen","year":"2019","unstructured":"Chen, X., Zhu, C.C.: Ensemble of decision tree reveals potential miRNA-disease associations. PLoS Comput. Biol. 15(7), e1007209\u2013e1007219 (2019)","journal-title":"PLoS Comput. Biol."},{"issue":"2","key":"47_CR15","first-page":"515","volume":"20","author":"X Chen","year":"2017","unstructured":"Chen, X., Huang, L.: LRSSLMDA: laplacian regularized sparse subspace learning for MiRNA-disease association prediction. PLoS Comput. Biol. 20(2), 515\u2013539 (2017)","journal-title":"PLoS Comput. Biol."},{"issue":"18","key":"47_CR16","doi-asserted-by":"publisher","first-page":"3178","DOI":"10.1093\/bioinformatics\/bty333","volume":"34","author":"X Chen","year":"2018","unstructured":"Chen, X., Xie, D., Wang, L., Zhao, Q., You, Z.-H., Liu, H.: BNPMDA: bipartite network projection for MiRNA\u2013disease association prediction. Bioinformatics 34(18), 3178\u20133186 (2018)","journal-title":"Bioinformatics"},{"issue":"7","key":"47_CR17","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1080\/15476286.2017.1312226","volume":"14","author":"X Chen","year":"2017","unstructured":"Chen, X., Wu, Q.F., Yan, G.Y.: RKNNMDA: ranking-based KNN for MiRNA-disease association prediction. RNA Biol. 14(7), 11\u201320 (2017)","journal-title":"RNA Biol."},{"key":"47_CR18","first-page":"1","volume":"2021","author":"W Li","year":"2021","unstructured":"Li, W., Cheng, Z.: Prediction of miRNA-disease association using deep collaborative filtering. Biomed. Res. Int. 2021, 1\u201316 (2021)","journal-title":"Biomed. Res. Int."},{"issue":"13","key":"47_CR19","first-page":"1644","volume":"26","author":"HY Li","year":"2021","unstructured":"Li, H.Y., You, Z.H.: DF-MDA: an effective diffusion-based computational model for predicting miRNA-disease association from heterogeneous biological network. Mol. Ther. 26(13), 1644\u20131650 (2021)","journal-title":"Mol. Ther."},{"key":"47_CR20","doi-asserted-by":"crossref","unstructured":"Chen, X., Xing, Z., Zhou, Y.: ELLPMDA: ensemble learning and link prediction for miRNA-disease association prediction. Rna Biology 16, 363\u2013372 (2018)","DOI":"10.1080\/15476286.2018.1460016"},{"issue":"21","key":"47_CR21","doi-asserted-by":"publisher","first-page":"8685","DOI":"10.1073\/pnas.0701361104","volume":"104","author":"KI Goh","year":"2007","unstructured":"Goh, K.I., Cusick, M.E.: The human disease network. Proc. Natl. Acad. Sci. 104(21), 8685\u20138690 (2007)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"10","key":"47_CR22","doi-asserted-by":"publisher","first-page":"e3420","DOI":"10.1371\/journal.pone.0003420","volume":"3","author":"M Lu","year":"2008","unstructured":"Lu, M., Zhang, Q.: An analysis of human MicroRNA and disease associations. PLoS ONE 3(10), e3420\u2013e3432 (2008)","journal-title":"PLoS ONE"},{"key":"47_CR23","doi-asserted-by":"publisher","first-page":"1644","DOI":"10.1093\/bioinformatics\/btq241","volume":"26","author":"D Wang","year":"2010","unstructured":"Wang, D.: Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases. Bioinformatics 26, 1644\u20131650 (2010)","journal-title":"Bioinformatics"},{"key":"47_CR24","first-page":"265","volume":"88","author":"CE Lipscomb","year":"2000","unstructured":"Lipscomb, C.E.: Medical subject headings (MeSH). Bull. Med. Libr. Assoc. 88, 265\u2013266 (2000)","journal-title":"Bull. Med. Libr. Assoc."},{"key":"47_CR25","doi-asserted-by":"crossref","first-page":"4256","DOI":"10.1093\/bioinformatics\/bty503","volume":"24","author":"X Chen","year":"2018","unstructured":"Chen, X., Wang, L.: Predicting miRNA-disease association based on inductive matrix completion. Bioinformatics 24, 4256\u20134265 (2018)","journal-title":"Bioinformatics"},{"key":"47_CR26","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/s12021-018-9386-9","volume":"16","author":"Y Jiang","year":"2018","unstructured":"Jiang, Y., Liu, B., Yu, L.: Predict MiRNA-disease association with collaborative filtering. Neuroinformatics 16, 363\u2013372 (2018)","journal-title":"Neuroinformatics"},{"issue":"2","key":"47_CR27","first-page":"515","volume":"20","author":"B Shao","year":"2018","unstructured":"Shao, B., Liu, B., Yan, C.: SACMDA: MiRNA-disease association prediction with short acyclic connections in heterogeneous graph. Neuroinformatics 20(2), 515\u2013539 (2018)","journal-title":"Neuroinformatics"},{"issue":"Suppl 4","key":"47_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2164-11-S4-S1","volume":"11","author":"Y Zhen","year":"2010","unstructured":"Zhen, Y., Fei, R., Liu, C., et al.: dbDEMC: a database of differentially expressed miRNAs in human cancers. BMC Genomics 11(Suppl 4), 1\u20138 (2010)","journal-title":"BMC Genomics"},{"key":"47_CR29","doi-asserted-by":"crossref","unstructured":"Jiang, Q., Wang, Y., Hao, Y.: miR2Disease: a manually curated database for microRNA deregulation in human disease. Nucleic Acids Res. 37(Database), D98\u2013D104 (2009)","DOI":"10.1093\/nar\/gkn714"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-84532-2_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T02:37:33Z","timestamp":1699324653000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-84532-2_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030845315","9783030845322"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-84532-2_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2021a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2021\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}