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For: Wang L, You ZH, Chen X, Li YM, Dong YN, Li LP, Zheng K. LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. PLoS Comput Biol 2019;15:e1006865. [PMID: 30917115 PMCID: PMC6464243 DOI: 10.1371/journal.pcbi.1006865] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Revised: 04/15/2019] [Accepted: 02/13/2019] [Indexed: 11/18/2022]  Open
Number Cited by Other Article(s)
1
Yuan Y, Chen S, Hu R, Wang X. MutualDTA: An Interpretable Drug-Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention. J Chem Inf Model 2025;65:1211-1227. [PMID: 39878060 DOI: 10.1021/acs.jcim.4c01893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
2
Liang SZ, Wang L, You ZH, Yu CQ, Wei MM, Wei Y, Shi TL, Jiang C. Predicting circRNA-Disease Associations through Multisource Domain-Aware Embeddings and Feature Projection Networks. J Chem Inf Model 2025;65:1666-1676. [PMID: 39829001 DOI: 10.1021/acs.jcim.4c02250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
3
Cao X, Lu P. DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations. Comput Biol Chem 2024;113:108201. [PMID: 39255626 DOI: 10.1016/j.compbiolchem.2024.108201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Revised: 08/17/2024] [Accepted: 08/31/2024] [Indexed: 09/12/2024]
4
Wang Y, Yin Z. Prediction of miRNA-disease association based on multisource inductive matrix completion. Sci Rep 2024;14:27503. [PMID: 39528650 PMCID: PMC11555322 DOI: 10.1038/s41598-024-78212-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024]  Open
5
Liu W, Lan Z, Li Z, Sun X, Lu X. Dual-neighbourhood information aggregation and feature fusion for prediction of miRNA-disease association. Comput Biol Med 2024;181:109068. [PMID: 39208505 DOI: 10.1016/j.compbiomed.2024.109068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/23/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024]
6
Lee Y. Three-Dimensional Dense Reconstruction: A Review of Algorithms and Datasets. SENSORS (BASEL, SWITZERLAND) 2024;24:5861. [PMID: 39338606 PMCID: PMC11435907 DOI: 10.3390/s24185861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 09/04/2024] [Accepted: 09/05/2024] [Indexed: 09/30/2024]
7
Sun W, Zhang P, Zhang W, Xu J, Huang Y, Li L. Synchronous Mutual Learning Network and Asynchronous Multi-Scale Embedding Network for miRNA-Disease Association Prediction. Interdiscip Sci 2024;16:532-553. [PMID: 38310628 DOI: 10.1007/s12539-023-00602-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 02/06/2024]
8
Hou B, Yu D, Bai H, Du X. Research Progress of miRNA in Heart Failure: Prediction and Treatment. J Cardiovasc Pharmacol 2024;84:136-145. [PMID: 38922572 DOI: 10.1097/fjc.0000000000001588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 04/23/2024] [Indexed: 06/27/2024]
9
Guo Y, Yi M. THGNCDA: circRNA-disease association prediction based on triple heterogeneous graph network. Brief Funct Genomics 2024;23:384-394. [PMID: 37738503 DOI: 10.1093/bfgp/elad042] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/21/2023] [Accepted: 09/04/2023] [Indexed: 09/24/2023]  Open
10
Xuan P, Wang X, Cui H, Meng X, Nakaguchi T, Zhang T. Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. IEEE J Biomed Health Inform 2024;28:4306-4316. [PMID: 38709611 DOI: 10.1109/jbhi.2024.3397003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
11
Zhao BW, He YZ, Su XR, Yang Y, Li GD, Huang YA, Hu PW, You ZH, Hu L. Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. IEEE J Biomed Health Inform 2024;28:4281-4294. [PMID: 38557614 DOI: 10.1109/jbhi.2024.3383591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
12
Dong B, Sun W, Xu D, Wang G, Zhang T. MDformer: A transformer-based method for predicting miRNA-Disease associations using multi-source feature fusion and maximal meta-path instances encoding. Comput Biol Med 2023;167:107585. [PMID: 37890424 DOI: 10.1016/j.compbiomed.2023.107585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/15/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023]
13
Lu Z, Zhong H, Tang L, Luo J, Zhou W, Liu L. Predicting lncRNA-disease associations based on heterogeneous graph convolutional generative adversarial network. PLoS Comput Biol 2023;19:e1011634. [PMID: 38019786 PMCID: PMC10686445 DOI: 10.1371/journal.pcbi.1011634] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023]  Open
14
Dong B, Sun W, Xu D, Wang G, Zhang T. DAEMDA: A Method with Dual-Channel Attention Encoding for miRNA-Disease Association Prediction. Biomolecules 2023;13:1514. [PMID: 37892196 PMCID: PMC10604960 DOI: 10.3390/biom13101514] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/08/2023] [Indexed: 10/29/2023]  Open
15
Zhao H, Duan G, Ni P, Yan C, Li Y, Wang J. RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023;20:2712-2723. [PMID: 34110998 DOI: 10.1109/tcbb.2021.3088256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
16
Wang MN, Li Y, Lei LL, Ding DW, Xie XJ. Combining non-negative matrix factorization with graph Laplacian regularization for predicting drug-miRNA associations based on multi-source information fusion. Front Pharmacol 2023;14:1132012. [PMID: 36817132 PMCID: PMC9931722 DOI: 10.3389/fphar.2023.1132012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 01/16/2023] [Indexed: 02/05/2023]  Open
17
He Y, Yang Y, Su X, Zhao B, Xiong S, Hu L. Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity. Brief Bioinform 2023;24:6958503. [PMID: 36562706 DOI: 10.1093/bib/bbac562] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/29/2022] [Accepted: 11/19/2022] [Indexed: 12/24/2022]  Open
18
Zheng K, Zhang XL, Wang L, You ZH, Ji BY, Liang X, Li ZW. SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs. Brief Bioinform 2023;24:6850564. [PMID: 36445194 DOI: 10.1093/bib/bbac498] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/30/2022]  Open
19
Liao Q, Ye Y, Li Z, Chen H, Zhuo L. Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders. Front Microbiol 2023;14:1170559. [PMID: 37187536 PMCID: PMC10175670 DOI: 10.3389/fmicb.2023.1170559] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 03/21/2023] [Indexed: 05/17/2023]  Open
20
Zhang ML, Zhao BW, Su XR, He YZ, Yang Y, Hu L. RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction. BMC Bioinformatics 2022;23:516. [PMID: 36456957 PMCID: PMC9713188 DOI: 10.1186/s12859-022-05069-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/21/2022] [Indexed: 12/03/2022]  Open
21
Zheng K, Zhang XL, Wang L, You ZH, Zhan ZH, Li HY. Line graph attention networks for predicting disease-associated Piwi-interacting RNAs. Brief Bioinform 2022;23:6748487. [PMID: 36198846 DOI: 10.1093/bib/bbac393] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 08/08/2022] [Accepted: 08/12/2022] [Indexed: 12/14/2022]  Open
22
Huang L, Zhang L, Chen X. Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models. Brief Bioinform 2022;23:6712303. [PMID: 36151749 DOI: 10.1093/bib/bbac407] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 08/11/2022] [Accepted: 08/20/2022] [Indexed: 12/14/2022]  Open
23
Li Y, Hu XG, Wang L, Li PP, You ZH. MNMDCDA: prediction of circRNA-disease associations by learning mixed neighborhood information from multiple distances. Brief Bioinform 2022;23:6831006. [PMID: 36384071 DOI: 10.1093/bib/bbac479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/25/2022] [Accepted: 10/10/2022] [Indexed: 11/18/2022]  Open
24
Li W, Wang S, Xu J, Xiang J. Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022;19:3190-3201. [PMID: 35041612 DOI: 10.1109/tcbb.2022.3143770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
25
Cao B, Li R, Xiao S, Deng S, Zhou X, Zhou L. Predicting miRNA-disease association through combining miRNA function and network topological similarities based on MINE. iScience 2022;25:105299. [DOI: 10.1016/j.isci.2022.105299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/08/2022] [Accepted: 09/28/2022] [Indexed: 11/16/2022]  Open
26
Dong TN, Schrader J, Mücke S, Khosla M. A message passing framework with multiple data integration for miRNA-disease association prediction. Sci Rep 2022;12:16259. [PMID: 36171337 PMCID: PMC9519928 DOI: 10.1038/s41598-022-20529-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 09/14/2022] [Indexed: 11/08/2022]  Open
27
Yu CQ, Wang XF, Li LP, You ZH, Huang WZ, Li YC, Ren ZH, Guan YJ. SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes. BIOLOGY 2022;11:biology11091350. [PMID: 36138829 PMCID: PMC9495879 DOI: 10.3390/biology11091350] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/21/2022] [Accepted: 09/08/2022] [Indexed: 11/16/2022]
28
Huang L, Zhang L, Chen X. Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models. Brief Bioinform 2022;23:6686738. [PMID: 36056743 DOI: 10.1093/bib/bbac358] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/24/2022] [Accepted: 07/30/2022] [Indexed: 12/12/2022]  Open
29
Han G, Kuang Z, Deng L. MSCNE:Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological Information. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022;19:2926-2937. [PMID: 34410928 DOI: 10.1109/tcbb.2021.3106006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
30
Ma M, Na S, Zhang X, Chen C, Xu J. SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction. Brief Bioinform 2022;23:6678419. [PMID: 36037084 DOI: 10.1093/bib/bbac340] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022]  Open
31
Zheng K, Liang Y, Liu YY, Yasir M, Wang P. A decision support system based on multi-sources information to predict piRNA–disease associations using stacked autoencoder. Soft comput 2022. [DOI: 10.1007/s00500-022-07396-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
32
Yang M, Huang ZA, Gu W, Han K, Pan W, Yang X, Zhu Z. Prediction of biomarker-disease associations based on graph attention network and text representation. Brief Bioinform 2022;23:6651308. [PMID: 35901464 DOI: 10.1093/bib/bbac298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 06/28/2022] [Accepted: 06/30/2022] [Indexed: 02/06/2023]  Open
33
A hybrid approach for the detection and monitoring of people having personality disorders on social networks. SOCIAL NETWORK ANALYSIS AND MINING 2022;12:67. [PMID: 35789887 PMCID: PMC9244050 DOI: 10.1007/s13278-022-00884-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/11/2022] [Accepted: 05/03/2022] [Indexed: 11/19/2022]
34
Ji BY, Pan LR, Zhou JR, You ZH, Peng SL. SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease Representation. BIOLOGY 2022;11:biology11050777. [PMID: 35625505 PMCID: PMC9138858 DOI: 10.3390/biology11050777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/17/2022] [Accepted: 05/17/2022] [Indexed: 12/24/2022]
35
Liang Y, Zhang ZQ, Liu NN, Wu YN, Gu CL, Wang YL. MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model. BMC Bioinformatics 2022;23:189. [PMID: 35590258 PMCID: PMC9118755 DOI: 10.1186/s12859-022-04715-w] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/05/2022] [Indexed: 01/02/2023]  Open
36
Yu N, Liu ZP, Gao R. Predicting multiple types of MicroRNA-disease associations based on tensor factorization and label propagation. Comput Biol Med 2022;146:105558. [PMID: 35525071 DOI: 10.1016/j.compbiomed.2022.105558] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 04/06/2022] [Accepted: 04/22/2022] [Indexed: 12/29/2022]
37
Xie W, Zheng Z, Zhang W, Huang L, Lin Q, Wong KC. SRG-vote: Predicting miRNA-gene relationships via embedding and LSTM ensemble. IEEE J Biomed Health Inform 2022;26:4335-4344. [PMID: 35471879 DOI: 10.1109/jbhi.2022.3169542] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
38
Yan C, Duan G, Li N, Zhang L, Wu FX, Wang J. PDMDA: predicting deep-level miRNA-disease associations with graph neural networks and sequence features. Bioinformatics 2022;38:2226-2234. [PMID: 35150255 DOI: 10.1093/bioinformatics/btac077] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 01/18/2022] [Accepted: 02/05/2022] [Indexed: 02/03/2023]  Open
39
Chen Y, Wang Y, Ding Y, Su X, Wang C. RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs. Comput Biol Med 2022;143:105322. [PMID: 35217342 DOI: 10.1016/j.compbiomed.2022.105322] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 12/21/2022]
40
Liu W, Lin H, Huang L, Peng L, Tang T, Zhao Q, Yang L. Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoder. Brief Bioinform 2022;23:6553934. [PMID: 35325038 DOI: 10.1093/bib/bbac104] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/18/2022] [Accepted: 03/01/2022] [Indexed: 12/31/2022]  Open
41
Yu L, Zheng Y, Ju B, Ao C, Gao L. Research progress of miRNA-disease association prediction and comparison of related algorithms. Brief Bioinform 2022;23:6542222. [PMID: 35246678 DOI: 10.1093/bib/bbac066] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/30/2022] [Accepted: 02/08/2022] [Indexed: 11/13/2022]  Open
42
Bi XA, Xing Z, Zhou W, Li L, Xu L. Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest with Brain Imaging and Genetic Data. IEEE J Biomed Health Inform 2022;26:3068-3079. [PMID: 35157601 DOI: 10.1109/jbhi.2022.3151084] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
43
Jiang H, Huang Y. An effective drug-disease associations prediction model based on graphic representation learning over multi-biomolecular network. BMC Bioinformatics 2022;23:9. [PMID: 34983364 PMCID: PMC8726520 DOI: 10.1186/s12859-021-04553-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/29/2021] [Indexed: 11/10/2022]  Open
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Huang Z, Han Y, Liu L, Cui Q, Zhou Y. LE-MDCAP: A Computational Model to Prioritize Causal miRNA-Disease Associations. Int J Mol Sci 2021;22:ijms222413607. [PMID: 34948403 PMCID: PMC8706837 DOI: 10.3390/ijms222413607] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/12/2021] [Accepted: 12/14/2021] [Indexed: 01/03/2023]  Open
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Wang L, You ZH, Li JQ, Huang YA. IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model. IEEE TRANSACTIONS ON CYBERNETICS 2021;51:5522-5531. [PMID: 33027025 DOI: 10.1109/tcyb.2020.3022852] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
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Yi HC, You ZH, Guo ZH, Huang DS, Chan KCC. Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021;18:2546-2554. [PMID: 32070992 DOI: 10.1109/tcbb.2020.2973091] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
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Xuan P, Wang D, Cui H, Zhang T, Nakaguchi T. Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction. Brief Bioinform 2021;23:6385813. [PMID: 34634106 DOI: 10.1093/bib/bbab428] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/01/2021] [Accepted: 09/19/2021] [Indexed: 12/14/2022]  Open
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Zheng K, You ZH, Wang L, Li YR, Zhou JR, Zeng HT. MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021;18:1733-1742. [PMID: 32749964 DOI: 10.1109/tcbb.2020.3013837] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
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Qian Y, Zhang Y, Zhang J. Alignment-Free Sequence Comparison With Multiple k Values. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021;18:1841-1849. [PMID: 31765317 DOI: 10.1109/tcbb.2019.2955081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
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Ji BY, You ZH, Wang Y, Li ZW, Wong L. DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding. iScience 2021;24:102455. [PMID: 34041455 PMCID: PMC8141887 DOI: 10.1016/j.isci.2021.102455] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 03/02/2021] [Accepted: 04/19/2021] [Indexed: 12/24/2022]  Open
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