{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T21:05:45Z","timestamp":1775077545693,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T00:00:00Z","timestamp":1628553600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T00:00:00Z","timestamp":1628553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s10489-021-02675-x","type":"journal-article","created":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T23:07:16Z","timestamp":1628550436000},"page":"5342-5352","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["DBNLDA: Deep Belief Network based representation learning for lncRNA-disease association prediction"],"prefix":"10.1007","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1367-5640","authenticated-orcid":false,"given":"Manu","family":"Madhavan","sequence":"first","affiliation":[]},{"given":"G.","family":"Gopakumar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,10]]},"reference":[{"issue":"1","key":"2675_CR1","doi-asserted-by":"publisher","first-page":"22","DOI":"10.4103\/0019-509X.175605","volume":"52","author":"F Bahari","year":"2015","unstructured":"Bahari F, Emadi-Baygi M, Nikpour P et al (2015) miR-17-92 host gene, uderexpressed in gastric cancer and its expression was negatively correlated with the metastasis. Ind J Cancer 52(1):22","journal-title":"Ind J Cancer"},{"issue":"6","key":"2675_CR2","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1517\/17460441.2012.682055","volume":"7","author":"D Bhartiya","year":"2012","unstructured":"Bhartiya D, Kapoor S, Jalali S, Sati S, Kaushik K, Sachidanandan C, Sivasubbu S, Scaria V (2012) Conceptual approaches for lncRNA drug discovery and future strategies. Expert Opin Drug Discov 7(6):503\u2013513","journal-title":"Expert Opin Drug Discov"},{"issue":"D1","key":"2675_CR3","doi-asserted-by":"publisher","first-page":"D983","DOI":"10.1093\/nar\/gks1099","volume":"41","author":"G Chen","year":"2012","unstructured":"Chen G, Wang Z, Wang D, Qiu C, Liu M, Chen X, Zhang Q, Yan G, Cui Q (2012) LncRNADisease: a database for long-non-coding RNA-associated diseases. Nucleic Acids Res 41(D1):D983\u2013D986","journal-title":"Nucleic Acids Res"},{"key":"2675_CR4","doi-asserted-by":"publisher","first-page":"16840","DOI":"10.1038\/srep16840","volume":"5","author":"X Chen","year":"2015","unstructured":"Chen X (2015) KATZLDA: KATZ Measure for the lncRNA-disease association prediction. Sci Rep 5:16840","journal-title":"Sci Rep"},{"key":"2675_CR5","doi-asserted-by":"publisher","first-page":"11338","DOI":"10.1038\/srep11338","volume":"5","author":"X Chen","year":"2015","unstructured":"Chen X, Yan CC, Luo C, Ji W, Zhang Y, Dai Q (2015) Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity. Sci Rep 5:11338","journal-title":"Sci Rep"},{"key":"2675_CR6","doi-asserted-by":"publisher","first-page":"11338","DOI":"10.1038\/srep11338","volume":"5","author":"X Chen","year":"2015","unstructured":"Chen X, Yan CC, Luo C, Ji W, Zhang Y, Dai Q (2015) Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity. Sci Rep 5:11338","journal-title":"Sci Rep"},{"key":"2675_CR7","doi-asserted-by":"publisher","first-page":"13877","DOI":"10.1038\/srep13877","volume":"5","author":"X Chen","year":"2015","unstructured":"Chen X, Yan CC, Zhang X, Li Z, Deng L, Zhang Y, Dai Q (2015) RBMMMDA: Predicting multiple types of disease-microRNA associations. Sci Rep 5:13877","journal-title":"Sci Rep"},{"issue":"36","key":"2675_CR8","doi-asserted-by":"publisher","first-page":"57919","DOI":"10.18632\/oncotarget.11141","volume":"7","author":"X Chen","year":"2016","unstructured":"Chen X, You Z-H, Yan G-Y, Gong D-W (2016) IRWRLDA: Improved random walk with restart for lncRNA-disease association prediction. Oncotarget 7(36):57919","journal-title":"Oncotarget"},{"key":"2675_CR9","doi-asserted-by":"crossref","unstructured":"Davis J, Goadrich M (2006) The relationship between precision-recall and roc curves. In: Proceedings of the 23rd international conference on Machine learning, pp 233\u2013240","DOI":"10.1145\/1143844.1143874"},{"issue":"1","key":"2675_CR10","first-page":"1","volume":"8","author":"L Ding","year":"2018","unstructured":"Ding L, Wang M, Sun D, Li A (2018) TPGLDA Novel Prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph. Sci Rep 8(1):1\u201311","journal-title":"Sci Rep"},{"issue":"4","key":"2675_CR11","first-page":"4912","volume":"15","author":"Y Du","year":"2018","unstructured":"Du Y, Hao X, Liu X (2018) Low expression of long noncoding rna cdkn2b-as1 in patients with idiopathic pulmonary fibrosis predicts lung cancer by regulating the p53-signaling pathway. Oncol Lett 15(4):4912\u20134918","journal-title":"Oncol Lett"},{"issue":"W1","key":"2675_CR12","doi-asserted-by":"publisher","first-page":"W135","DOI":"10.1093\/nar\/gkw288","volume":"44","author":"Y Fan","year":"2016","unstructured":"Fan Y, Siklenka K, Arora SK, Ribeiro P, Kimmins S, Xia J (2016) miRNet-dissecting miRNA-target interactions and functional associations through network-based visual analysis. Nucleic Acids Res 44 (W1):W135\u2013W141","journal-title":"Nucleic Acids Res"},{"issue":"9","key":"2675_CR13","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1093\/bioinformatics\/btx794","volume":"34","author":"G Fu","year":"2018","unstructured":"Fu G, Wang J, Domeniconi C, Yu G (2018) Matrix factorization-based data fusion for the prediction of lncRNA\u2013disease associations. Bioinformatics 34(9):1529\u20131537","journal-title":"Bioinformatics"},{"issue":"10","key":"2675_CR14","doi-asserted-by":"publisher","first-page":"1456","DOI":"10.1101\/gr.191122.115","volume":"25","author":"LA Goff","year":"2015","unstructured":"Goff LA, Rinn JL (2015) Linking RNA biology to lncRNAs. Genome Res 25(10):1456\u20131465","journal-title":"Genome Res"},{"key":"2675_CR15","doi-asserted-by":"crossref","unstructured":"Grover A, Leskovec J (2016) node2vec Scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining, pp 855\u2013864","DOI":"10.1145\/2939672.2939754"},{"issue":"18","key":"2675_CR16","doi-asserted-by":"publisher","first-page":"7553","DOI":"10.18632\/aging.102271","volume":"11","author":"S Guo","year":"2019","unstructured":"Guo S, Zhang L, Zhang Y, Wu Z, He D, Li X, Wang Z (2019) Long non-coding RNA TUG1 enhances chemosensitivity in non-small cell lung cancer by impairing microRNA-221-dependent PTEN inhibition. Aging (Albany NY) 11(18):7553","journal-title":"Aging (Albany NY)"},{"issue":"5","key":"2675_CR17","doi-asserted-by":"publisher","first-page":"5947","DOI":"10.4249\/scholarpedia.5947","volume":"4","author":"GE Hinton","year":"2009","unstructured":"Hinton GE (2009) Deep belief networks. Scholarpedia 4(5):5947","journal-title":"Scholarpedia"},{"issue":"11","key":"2675_CR18","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1038\/nm.3981","volume":"21","author":"M Huarte","year":"2015","unstructured":"Huarte M (2015) The emerging role of lncRNAs in cancer. Nat Med 21(11):1253","journal-title":"Nat Med"},{"key":"2675_CR19","unstructured":"Kipf TN, Welling M (2016) Semi-supervised classification with graph convolutional networks. arXiv:1609.02907"},{"issue":"3","key":"2675_CR20","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1093\/bioinformatics\/btw639","volume":"33","author":"W Lan","year":"2017","unstructured":"Lan W, Li M, Zhao K, Liu J, Wu F-X, Yi P, Wang J (2017) LDAP: A web server for lncRNA-disease association prediction. Bioinformatics 33(3):458\u2013460","journal-title":"Bioinformatics"},{"issue":"6113","key":"2675_CR21","doi-asserted-by":"publisher","first-page":"1435","DOI":"10.1126\/science.1231776","volume":"338","author":"JT Lee","year":"2012","unstructured":"Lee JT (2012) Epigenetic regulation by long noncoding RNAs. Science 338(6113):1435\u20131439","journal-title":"Science"},{"issue":"8","key":"2675_CR22","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1007\/s11427-014-4692-4","volume":"57","author":"JW Li","year":"2014","unstructured":"Li JW, Gao C, Wang Y, Ma W, Tu J, Wang JP, Chen Z, Kong W, Cui Q (2014) A bioinformatics method for predicting long noncoding rnas associated with vascular disease. Sci China Life Sci 57(8):852\u2013857","journal-title":"Sci China Life Sci"},{"key":"2675_CR23","doi-asserted-by":"publisher","first-page":"D92","DOI":"10.1093\/nar\/gkt1248","volume":"D1","author":"J-H Li","year":"2014","unstructured":"Li J-H, Liu S, Zhou H, Qu L-H, Yang J-H (2014) starBase v2. 0: decoding miRNA-ceRNA, miRNA-ncRNA and protein\u2013RNA interaction networks from large-scale CLIP-Seq data. Nucleic Acids Res D1:D92\u2013D97","journal-title":"Nucleic Acids Res"},{"issue":"4","key":"2675_CR24","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1109\/TCBB.2014.2377729","volume":"12","author":"M Liang","year":"2014","unstructured":"Liang M, Li Z, Chen T, Zeng J (2014) Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach. IEEE\/ACM Trans Comput Biol Bioinform 12(4):928\u2013937","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"key":"2675_CR25","first-page":"8722","volume":"22","author":"XY L Liu","year":"2018","unstructured":"L Liu X Y, Zhou J Q, Zhang G, Wang J, He Y, Chen C, Huang L (2018) Li, and SQ Li. LncRNA HULC promotes non-small cell lung cancer cell proliferation and inhibits the apoptosis by up-regulating sphingosine kinase 1 (SPHK1) and its downstream PI3k\/akt pathway. Eur Rev Med Pharmacol Sci 22:8722\u20138730","journal-title":"Eur Rev Med Pharmacol Sci"},{"issue":"1","key":"2675_CR26","doi-asserted-by":"publisher","first-page":"e84408","DOI":"10.1371\/journal.pone.0084408","volume":"9","author":"M-X Liu","year":"2014","unstructured":"Liu M-X, Chen X, Chen G, Cui Q-H, Yan G-Y (2014) A computational framework to infer human disease-associated long noncoding rnas. PloS One 9(1):e84408","journal-title":"PloS One"},{"issue":"19","key":"2675_CR27","doi-asserted-by":"publisher","first-page":"3357","DOI":"10.1093\/bioinformatics\/bty327","volume":"34","author":"C Lu","year":"2018","unstructured":"Lu C, Yang M, Luo F, Wu F-X, Li M, Yi P, Li Y, Wang J (2018) Prediction of lncRNA\u2013disease associations based on inductive matrix completion. Bioinformatics 34(19):3357\u20133364","journal-title":"Bioinformatics"},{"issue":"19","key":"2675_CR28","doi-asserted-by":"publisher","first-page":"3735","DOI":"10.1093\/bioinformatics\/btz155","volume":"35","author":"P Luo","year":"2019","unstructured":"Luo P, Li Y, Tian L-P, Wu F-X (2019) Enhancing the prediction of disease\u2013gene associations with multimodal deep learning. Bioinformatics 35(19):3735\u20133742","journal-title":"Bioinformatics"},{"key":"2675_CR29","doi-asserted-by":"publisher","first-page":"867","DOI":"10.2147\/CIA.S107037","volume":"11","author":"Q Luo","year":"2016","unstructured":"Luo Q, Chen Y (2016) Long noncoding RNAs and Alzheimer\u2019s disease. Clin Intervent Aging 11:867","journal-title":"Clin Intervent Aging"},{"issue":"D1","key":"2675_CR30","doi-asserted-by":"publisher","first-page":"D980","DOI":"10.1093\/nar\/gkv1094","volume":"44","author":"S Ning","year":"2016","unstructured":"Ning S, Zhang J, Wang P, Zhi H, Wang J, Liu Y, Gao Y, Guo M, Yue M, Wang L et al (2016) Lnc2cancer: a manually curated database of experimentally supported lncRNAs associated with various human cancers. Nucleic Acids Res 44(D1):D980\u2013D985","journal-title":"Nucleic Acids Res"},{"key":"2675_CR31","doi-asserted-by":"crossref","unstructured":"Paraskevopoulou MD, Hatzigeorgiou AG (2016) Analyzing miRNA\u2013lncRNA interactions. In: long non-coding RNAs. Springer, pp 271\u2013286","DOI":"10.1007\/978-1-4939-3378-5_21"},{"issue":"44","key":"2675_CR32","doi-asserted-by":"publisher","first-page":"6508","DOI":"10.3748\/wjg.v25.i44.6508","volume":"25","author":"H-Y Piao","year":"2019","unstructured":"Piao H-Y, Guo S, Wang Y, Zhang J (2019) Long noncoding RNA NALT1-induced gastric cancer invasion and metastasis via NOTCH signaling pathway. World J Gastroenterol 25(44):6508","journal-title":"World J Gastroenterol"},{"issue":"2","key":"2675_CR33","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1109\/TCBB.2018.2827373","volume":"16","author":"P Ping","year":"2018","unstructured":"Ping P, Wang L, Kuang L, Ye S, Iqbal MFB, Pei T (2018) A novel method for lncRNA-disease association prediction based on an lncRNA-disease association network. IEEE\/ACM Trans Comput Biol Bioinform 16(2):688\u2013693","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"issue":"4","key":"2675_CR34","doi-asserted-by":"publisher","first-page":"4851","DOI":"10.18632\/oncotarget.23585","volume":"9","author":"H Ren","year":"2018","unstructured":"Ren H, Yang X, Yang Y, Zhang X, Zhao R, Wei R, Zhang X, Yi Z (2018) Upregulation of lncRNA BCYRN1 promotes tumor progression and enhances epCAM expression in gastric carcinoma. Oncotarget 9(4):4851","journal-title":"Oncotarget"},{"key":"2675_CR35","doi-asserted-by":"crossref","unstructured":"Song J, Wang Q, Zong L (2020) LncRNA MIR155HG contributes to smoke-related chronic obstructive pulmonary disease by targeting miR-128-5p\/BRD4 axis. Biosci Rep 40(3)","DOI":"10.1042\/BSR20192567"},{"issue":"8","key":"2675_CR36","doi-asserted-by":"publisher","first-page":"2074","DOI":"10.1039\/C3MB70608G","volume":"10","author":"J Sun","year":"2014","unstructured":"Sun J, Shi H, Wang Z, Zhang C, Liu L, Wang L, He W, Hao D, Liu S, Zhou M (2014) Inferring novel lncRNA\u2013disease associations based on a random walk model of a lncRNA functional similarity network. Mol BioSyst 10(8):2074\u20132081","journal-title":"Mol BioSyst"},{"issue":"2","key":"2675_CR37","first-page":"994","volume":"19","author":"G Wang","year":"2019","unstructured":"Wang G, Zheng X, Zheng Y, Cao R, Zhang M, Sun Y, Wu J (2019) Construction and analysis of the lncRNA-miRNA-mRNA network based on competitive endogenous RNA reveals functional genes in heart failure. Mol Med Rep 19(2):994\u20131003","journal-title":"Mol Med Rep"},{"issue":"6","key":"2675_CR38","doi-asserted-by":"publisher","first-page":"2221","DOI":"10.1159\/000475637","volume":"41","author":"H Wang","year":"2017","unstructured":"Wang H, Shen Q, Zhang X, Yang C, Su C, Sun Y, Wang L, Fan X, Xu S (2017) The long non-coding RNA XIST controls non-small cell lung cancer proliferation and invasion by modulating miR-186-5p. Cell Physiol Biochem 41(6):2221\u20132229","journal-title":"Cell Physiol Biochem"},{"issue":"3","key":"2675_CR39","doi-asserted-by":"publisher","first-page":"4642","DOI":"10.18632\/oncotarget.13964","volume":"8","author":"P Wang","year":"2017","unstructured":"Wang P, Guo Q, Gao Y, Zhi H, Zhang Y, Liu Y, Zhang J, Yue M, Guo M, Ning S et al (2017) Improved method for prioritization of disease associated lncRNAs based on ceRNA theory and functional genomics data. Oncotarget 8(3):4642","journal-title":"Oncotarget"},{"issue":"8","key":"2675_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41419-018-0869-2","volume":"9","author":"S Wang","year":"2018","unstructured":"Wang S, Ke H, Zhang H, Ma Y, Ao L, Zou L, Yang Q, Zhu H, Nie J, Wu C et al (2018) LncRNA MIR100HG promotes cell proliferation in triple-negative breast cancer through triplex formation with p27 loci. Cell Death Disease 9(8):1\u201311","journal-title":"Cell Death Disease"},{"issue":"13","key":"2675_CR41","doi-asserted-by":"publisher","first-page":"i126","DOI":"10.1093\/bioinformatics\/btt234","volume":"29","author":"Y Wang","year":"2013","unstructured":"Wang Y, Zeng J (2013) Predicting drug-target interactions using restricted Boltzmann machines. Bioinformatics 29(13):i126\u2013i134","journal-title":"Bioinformatics"},{"key":"2675_CR42","doi-asserted-by":"publisher","first-page":"108869","DOI":"10.1016\/j.biopha.2019.108869","volume":"115","author":"J Wu","year":"2019","unstructured":"Wu J, Chen H, Ye M, Wang B, Zhang Y, Sheng J, Meng T, Chen H (2019) Downregulation of long noncoding RNA HCP5 contributes to cisplatin resistance in human triple-negative breast cancer via regulation of PTEN expression. Biomed Pharmacother 115:108869","journal-title":"Biomed Pharmacother"},{"key":"2675_CR43","doi-asserted-by":"crossref","unstructured":"Wu X, Lan W, Chen Q, Dong Y, Liu J, Peng W (2020) Inferring LncRNA-disease Associations Based: On Graph Autoencoder Matrix Completion. Computational Biology and Chemistry, pp 107282","DOI":"10.1016\/j.compbiolchem.2020.107282"},{"key":"2675_CR44","doi-asserted-by":"publisher","first-page":"416","DOI":"10.3389\/fgene.2019.00416","volume":"10","author":"P Xuan","year":"2019","unstructured":"Xuan P, Cao Y, Zhang T, Kong R, Zhang Z (2019) Dual convolutional neural networks with attention mechanisms based method for predicting disease - related lncRNA genes. Front Gen 10:416","journal-title":"Front Gen"},{"issue":"9","key":"2675_CR45","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.3390\/cells8091012","volume":"8","author":"P Xuan","year":"2019","unstructured":"Xuan P, Pan S, Zhang T, Liu Y, Sun H (2019) Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-disease Associations. Cells 8(9):1012","journal-title":"Cells"},{"issue":"1","key":"2675_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-020-3458-1","volume":"21","author":"D Yao","year":"2020","unstructured":"Yao D, Zhan X, Zhan X, Kwoh CK, Li P, Wang J (2020) A random forest based computational model for predicting novel lncRNA-disease associations. BMC Bioinform 21(1):1\u201318","journal-title":"BMC Bioinform"},{"issue":"36","key":"2675_CR47","doi-asserted-by":"publisher","first-page":"60429","DOI":"10.18632\/oncotarget.19588","volume":"8","author":"G Yu","year":"2017","unstructured":"Yu G, Fu G, Lu C, Ren Y, Wang J (2017) BRWLDA: Bi-random walks for predicting lncRNA-disease associations. Oncotarget 8(36):60429","journal-title":"Oncotarget"},{"key":"2675_CR48","unstructured":"Han J, Kamber M, Pei J (2011) Data mining concepts and techniques. The Morgan Kaufmann Series in Data Management Systems, pp 5.4"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02675-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02675-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02675-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,5]],"date-time":"2023-02-05T15:15:45Z","timestamp":1675610145000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02675-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,10]]},"references-count":48,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["2675"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02675-x","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,10]]},"assertion":[{"value":"9 July 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 August 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interest"}}]}}