184 related articles for article (PubMed ID: 38553698)
61. Prediction of Potential miRNA-Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder.
Zhang L; Chen X; Yin J
Cells; 2019 Sep; 8(9):. PubMed ID: 31489920
[TBL] [Abstract][Full Text] [Related]
62. MAMDA: Inferring microRNA-Disease associations with manifold alignment.
Yan F; Zheng Y; Jia W; Hou S; Xiao R
Comput Biol Med; 2019 Jul; 110():156-163. PubMed ID: 31154259
[TBL] [Abstract][Full Text] [Related]
63. Prediction of Potential MicroRNA-Disease Association Using Kernelized Bayesian Matrix Factorization.
Toprak A; Eryilmaz Dogan E
Interdiscip Sci; 2021 Dec; 13(4):595-602. PubMed ID: 34370220
[TBL] [Abstract][Full Text] [Related]
64. A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks.
Wang XF; Yu CQ; You ZH; Li LP; Huang WZ; Ren ZH; Li YC; Wei MM
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 36971393
[TBL] [Abstract][Full Text] [Related]
65. MicroRNAs and complex diseases: from experimental results to computational models.
Chen X; Xie D; Zhao Q; You ZH
Brief Bioinform; 2019 Mar; 20(2):515-539. PubMed ID: 29045685
[TBL] [Abstract][Full Text] [Related]
66. A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.
Zhang W; Li Z; Guo W; Yang W; Huang F
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):405-415. PubMed ID: 31369383
[TBL] [Abstract][Full Text] [Related]
67. MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations.
Ding Y; Lei X; Liao B; Wu FX
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35323901
[TBL] [Abstract][Full Text] [Related]
68. ANMDA: anti-noise based computational model for predicting potential miRNA-disease associations.
Chen XJ; Hua XY; Jiang ZR
BMC Bioinformatics; 2021 Jul; 22(1):358. PubMed ID: 34215183
[TBL] [Abstract][Full Text] [Related]
69. DNI-MDCAP: improvement of causal MiRNA-disease association prediction based on deep network imputation.
Han Y; Zhou Q; Liu L; Li J; Zhou Y
BMC Bioinformatics; 2024 Jan; 25(1):22. PubMed ID: 38216907
[TBL] [Abstract][Full Text] [Related]
70. Predicting multiple types of MicroRNA-disease associations based on tensor factorization and label propagation.
Yu N; Liu ZP; Gao R
Comput Biol Med; 2022 Jul; 146():105558. PubMed ID: 35525071
[TBL] [Abstract][Full Text] [Related]
71. Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.
Li G; Luo J; Xiao Q; Liang C; Ding P
J Biomed Inform; 2018 Jun; 82():169-177. PubMed ID: 29763707
[TBL] [Abstract][Full Text] [Related]
72. Identification of miRNA-disease associations via multiple information integration with Bayesian ranking.
Zhu CC; Wang CC; Zhao Y; Zuo M; Chen X
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34347021
[TBL] [Abstract][Full Text] [Related]
73. NMCMDA: neural multicategory MiRNA-disease association prediction.
Wang J; Li J; Yue K; Wang L; Ma Y; Li Q
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33778850
[TBL] [Abstract][Full Text] [Related]
74. RWRMDA: predicting novel human microRNA-disease associations.
Chen X; Liu MX; Yan GY
Mol Biosyst; 2012 Oct; 8(10):2792-8. PubMed ID: 22875290
[TBL] [Abstract][Full Text] [Related]
75. Predicting miRNA-Disease Association Based on Improved Graph Regression.
Li L; Gao Z; Zheng CH; Qi R; Wang YT; Ni JC
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3604-3613. PubMed ID: 34757912
[TBL] [Abstract][Full Text] [Related]
76. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
[TBL] [Abstract][Full Text] [Related]
77. Predicting miRNA-disease associations using an ensemble learning framework with resampling method.
Dai Q; Wang Z; Liu Z; Duan X; Song J; Guo M
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34929742
[TBL] [Abstract][Full Text] [Related]
78. Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.
Shi H; Zhang G; Zhou M; Cheng L; Yang H; Wang J; Sun J; Wang Z
PLoS One; 2016; 11(2):e0148521. PubMed ID: 26849207
[TBL] [Abstract][Full Text] [Related]
79. ELLPMDA: Ensemble learning and link prediction for miRNA-disease association prediction.
Chen X; Zhou Z; Zhao Y
RNA Biol; 2018; 15(6):807-818. PubMed ID: 29619882
[TBL] [Abstract][Full Text] [Related]
80. Predicting miRNA-Disease Associations via Combining Probability Matrix Feature Decomposition With Neighbor Learning.
Lu X; Li J; Zhu Z; Yuan Y; Chen G; He K
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3160-3170. PubMed ID: 34260356
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
