These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 37284317)

  • 41. Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.
    Xuan P; Gao L; Sheng N; Zhang T; Nakaguchi T
    IEEE J Biomed Health Inform; 2021 May; 25(5):1793-1804. PubMed ID: 33216722
    [TBL] [Abstract][Full Text] [Related]  

  • 42. MGREL: A multi-graph representation learning-based ensemble learning method for gene-disease association prediction.
    Wang Z; Gu Y; Zheng S; Yang L; Li J
    Comput Biol Med; 2023 Mar; 155():106642. PubMed ID: 36805231
    [TBL] [Abstract][Full Text] [Related]  

  • 43. BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug-disease association prediction.
    Xie G; Li J; Gu G; Sun Y; Lin Z; Zhu Y; Wang W
    Mol Omics; 2021 Dec; 17(6):997-1011. PubMed ID: 34610633
    [TBL] [Abstract][Full Text] [Related]  

  • 44. GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing.
    Zhang F; Hu W; Liu Y
    BMC Bioinformatics; 2022 Sep; 23(1):372. PubMed ID: 36100897
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit.
    Xuan P; Zhao L; Zhang T; Ye Y; Zhang Y
    Molecules; 2019 Jul; 24(15):. PubMed ID: 31349692
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Ensembling graph attention networks for human microbe-drug association prediction.
    Long Y; Wu M; Liu Y; Kwoh CK; Luo J; Li X
    Bioinformatics; 2020 Dec; 36(Suppl_2):i779-i786. PubMed ID: 33381844
    [TBL] [Abstract][Full Text] [Related]  

  • 47. DLFF-ACP: prediction of ACPs based on deep learning and multi-view features fusion.
    Cao R; Wang M; Bin Y; Zheng C
    PeerJ; 2021; 9():e11906. PubMed ID: 34414035
    [TBL] [Abstract][Full Text] [Related]  

  • 48. GATNNCDA: A Method Based on Graph Attention Network and Multi-Layer Neural Network for Predicting circRNA-Disease Associations.
    Ji C; Liu Z; Wang Y; Ni J; Zheng C
    Int J Mol Sci; 2021 Aug; 22(16):. PubMed ID: 34445212
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions.
    Sun C; Xuan P; Zhang T; Ye Y
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(1):455-464. PubMed ID: 32750854
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Predicting miRNA-disease associations based on multi-view information fusion.
    Xie X; Wang Y; Sheng N; Zhang S; Cao Y; Fu Y
    Front Genet; 2022; 13():979815. PubMed ID: 36238163
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity.
    Rohani N; Eslahchi C
    Sci Rep; 2019 Sep; 9(1):13645. PubMed ID: 31541145
    [TBL] [Abstract][Full Text] [Related]  

  • 52. MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug-Target Binding Affinity Prediction.
    Wang S; Song X; Zhang Y; Zhang K; Liu Y; Ren C; Pang S
    Int J Mol Sci; 2023 May; 24(9):. PubMed ID: 37176031
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Drug repositioning based on multi-view learning with matrix completion.
    Yan Y; Yang M; Zhao H; Duan G; Peng X; Wang J
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35289352
    [TBL] [Abstract][Full Text] [Related]  

  • 54. GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning.
    Chen S; Hong Z; Xie G; Peng Q; You X; Ding W; Shao L
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4516-4529. PubMed ID: 35507624
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer.
    Zhang Y; Yuan N; Zhang Z; Du J; Wang T; Liu B; Yang A; Lv K; Ma G; Lei B
    Med Image Anal; 2022 Jul; 79():102467. PubMed ID: 35537338
    [TBL] [Abstract][Full Text] [Related]  

  • 56. IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
    Fan W; Shang J; Li F; Sun Y; Yuan S; Liu JX
    BMC Bioinformatics; 2020 Jul; 21(1):339. PubMed ID: 32736513
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm.
    Luo H; Wang J; Li M; Luo J; Peng X; Wu FX; Pan Y
    Bioinformatics; 2016 Sep; 32(17):2664-71. PubMed ID: 27153662
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction.
    Li J; Zhang S; Liu T; Ning C; Zhang Z; Zhou W
    Bioinformatics; 2020 Apr; 36(8):2538-2546. PubMed ID: 31904845
    [TBL] [Abstract][Full Text] [Related]  

  • 59. DeepMNE: Deep Multi-Network Embedding for lncRNA-Disease Association Prediction.
    Ma Y
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):3539-3549. PubMed ID: 35180094
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Computational drug repositioning using meta-path-based semantic network analysis.
    Tian Z; Teng Z; Cheng S; Guo M
    BMC Syst Biol; 2018 Dec; 12(Suppl 9):134. PubMed ID: 30598084
    [TBL] [Abstract][Full Text] [Related]  

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