BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 29853986)

  • 21. Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks.
    Wang L; Shang M; Dai Q; He PA
    BMC Bioinformatics; 2022 Jan; 23(1):5. PubMed ID: 34983367
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs.
    Zhao H; Kuang L; Wang L; Xuan Z
    Comput Math Methods Med; 2018; 2018():6747453. PubMed ID: 30046354
    [TBL] [Abstract][Full Text] [Related]  

  • 23. An improved random forest-based computational model for predicting novel miRNA-disease associations.
    Yao D; Zhan X; Kwoh CK
    BMC Bioinformatics; 2019 Dec; 20(1):624. PubMed ID: 31795954
    [TBL] [Abstract][Full Text] [Related]  

  • 24. RWSF-BLP: a novel lncRNA-disease association prediction model using random walk-based multi-similarity fusion and bidirectional label propagation.
    Xie G; Huang B; Sun Y; Wu C; Han Y
    Mol Genet Genomics; 2021 May; 296(3):473-483. PubMed ID: 33590345
    [TBL] [Abstract][Full Text] [Related]  

  • 25. LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets.
    Wang Y; Juan L; Peng J; Zang T; Wang Y
    BMC Bioinformatics; 2019 Dec; 20(Suppl 16):582. PubMed ID: 31787106
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling.
    Huang YA; Chan KCC; You ZH
    Bioinformatics; 2018 Mar; 34(5):812-819. PubMed ID: 29069317
    [TBL] [Abstract][Full Text] [Related]  

  • 27. BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction.
    Chen X; Xie D; Wang L; Zhao Q; You ZH; Liu H
    Bioinformatics; 2018 Sep; 34(18):3178-3186. PubMed ID: 29701758
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network.
    Zhang G; Pian C; Chen Z; Zhang J; Xu M; Zhang L; Chen Y
    PLoS One; 2018; 13(5):e0196681. PubMed ID: 29715309
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network.
    Zhou M; Wang X; Li J; Hao D; Wang Z; Shi H; Han L; Zhou H; Sun J
    Mol Biosyst; 2015 Mar; 11(3):760-9. PubMed ID: 25502053
    [TBL] [Abstract][Full Text] [Related]  

  • 30. DF-MDA: An effective diffusion-based computational model for predicting miRNA-disease association.
    Li HY; You ZH; Wang L; Yan X; Li ZW
    Mol Ther; 2021 Apr; 29(4):1501-1511. PubMed ID: 33429082
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of drug resistance associated ncRNAs based on comprehensive heterogeneous network.
    Huang YE; Zhou S; Liu H; Zhou X; Yuan M; Hou F; Wang L; Jiang W
    Life Sci; 2020 Feb; 243():117256. PubMed ID: 31923419
    [TBL] [Abstract][Full Text] [Related]  

  • 32. LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.
    Cui Z; Liu JX; Gao YL; Zhu R; Yuan SS
    IEEE J Biomed Health Inform; 2020 May; 24(5):1519-1527. PubMed ID: 31478878
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Predicting lncRNA-disease associations based on heterogeneous graph convolutional generative adversarial network.
    Lu Z; Zhong H; Tang L; Luo J; Zhou W; Liu L
    PLoS Comput Biol; 2023 Nov; 19(11):e1011634. PubMed ID: 38019786
    [TBL] [Abstract][Full Text] [Related]  

  • 34. NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
    Ji BY; You ZH; Chen ZH; Wong L; Yi HC
    BMC Bioinformatics; 2020 Sep; 21(1):401. PubMed ID: 32912137
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model.
    Ji BY; You ZH; Cheng L; Zhou JR; Alghazzawi D; Li LP
    Sci Rep; 2020 Apr; 10(1):6658. PubMed ID: 32313121
    [TBL] [Abstract][Full Text] [Related]  

  • 36. NFMCLDA: Predicting miRNA-based lncRNA-disease associations by network fusion and matrix completion.
    Ma Y; Shi Y; Chen X; Zhang B; Wu H; Gao J
    Comput Biol Med; 2024 May; 174():108403. PubMed ID: 38582002
    [TBL] [Abstract][Full Text] [Related]  

  • 37. TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction.
    Chen X; Qu J; Yin J
    Front Genet; 2018; 9():234. PubMed ID: 30018632
    [TBL] [Abstract][Full Text] [Related]  

  • 38. gGATLDA: lncRNA-disease association prediction based on graph-level graph attention network.
    Wang L; Zhong C
    BMC Bioinformatics; 2022 Jan; 23(1):11. PubMed ID: 34983363
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting miRNA-disease associations based on graph attention network with multi-source information.
    Li G; Fang T; Zhang Y; Liang C; Xiao Q; Luo J
    BMC Bioinformatics; 2022 Jun; 23(1):244. PubMed ID: 35729531
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk.
    Li J; Zhao H; Xuan Z; Yu J; Feng X; Liao B; Wang L
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(3):1049-1059. PubMed ID: 31425046
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.