BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

488 related articles for article (PubMed ID: 36070624)

  • 21. Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships.
    Kang LP; Lin KB; Lu P; Yang F; Chen JP
    PLoS One; 2022; 17(8):e0273764. PubMed ID: 36037188
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Advancing drug-target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining.
    Djeddi WE; Hermi K; Ben Yahia S; Diallo G
    BMC Bioinformatics; 2023 Dec; 24(1):488. PubMed ID: 38114937
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Knowledge Graph Entity Disambiguation Method Based on Entity-Relationship Embedding and Graph Structure Embedding.
    Ma J; Li D; Chen Y; Qiao Y; Zhu H; Zhang X
    Comput Intell Neurosci; 2021; 2021():2878189. PubMed ID: 34603428
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction.
    Zhou X; Guo J; Jiang L; Ning B; Wang Y
    Math Biosci Eng; 2023 Mar; 20(6):9607-9624. PubMed ID: 37322903
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network.
    Dong W; Yang Q; Wang J; Xu L; Li X; Luo G; Gao X
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37114624
    [TBL] [Abstract][Full Text] [Related]  

  • 26. SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug-Drug Interactions.
    Chen M; Jiang W; Pan Y; Dai J; Lei Y; Ji C
    J Comput Biol; 2022 Oct; 29(10):1104-1116. PubMed ID: 35723646
    [No Abstract]   [Full Text] [Related]  

  • 27. Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings.
    Celebi R; Uyar H; Yasar E; Gumus O; Dikenelli O; Dumontier M
    BMC Bioinformatics; 2019 Dec; 20(1):726. PubMed ID: 31852427
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Pre-training graph neural networks for link prediction in biomedical networks.
    Long Y; Wu M; Liu Y; Fang Y; Kwoh CK; Chen J; Luo J; Li X
    Bioinformatics; 2022 Apr; 38(8):2254-2262. PubMed ID: 35171981
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Graph Neural Network-Based Diagnosis Prediction.
    Li Y; Qian B; Zhang X; Liu H
    Big Data; 2020 Oct; 8(5):379-390. PubMed ID: 32783631
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Attention-based cross domain graph neural network for prediction of drug-drug interactions.
    Yu H; Li K; Dong W; Song S; Gao C; Shi J
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37195815
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures.
    Shtar G; Rokach L; Shapira B
    PLoS One; 2019; 14(8):e0219796. PubMed ID: 31369568
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Drug-drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings.
    Dai Y; Guo C; Guo W; Eickhoff C
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33126246
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Knowledge Graph Neural Network with Spatial-Aware Capsule for Drug-Drug Interaction Prediction.
    Su X; Zhao B; Li G; Zhang J; Hu P; You Z; Hu L
    IEEE J Biomed Health Inform; 2024 Jun; PP():. PubMed ID: 38917286
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A knowledge graph embedding based approach to predict the adverse drug reactions using a deep neural network.
    Joshi P; V M; Mukherjee A
    J Biomed Inform; 2022 Aug; 132():104122. PubMed ID: 35753606
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation.
    Jiang C; Ngo V; Chapman R; Yu Y; Liu H; Jiang G; Zong N
    J Med Internet Res; 2022 Jul; 24(7):e38584. PubMed ID: 35658098
    [TBL] [Abstract][Full Text] [Related]  

  • 36. BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework.
    Zheng X; Du H; Luo X; Tong F; Song W; Zhao D
    BMC Bioinformatics; 2022 Nov; 23(1):501. PubMed ID: 36418937
    [TBL] [Abstract][Full Text] [Related]  

  • 37. MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction Events.
    Yu L; Xu Z; Cheng M; Lin W; Qiu W; Xiao X
    Int J Mol Sci; 2023 Feb; 24(5):. PubMed ID: 36901929
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.
    Zhang Y; Xiong S; Wang Z; Liu Y; Luo H; Li B; Zou Q
    Methods; 2023 May; 213():1-9. PubMed ID: 36933628
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Drug-drug interactions prediction based on deep learning and knowledge graph: A review.
    Luo H; Yin W; Wang J; Zhang G; Liang W; Luo J; Yan C
    iScience; 2024 Mar; 27(3):109148. PubMed ID: 38405609
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting drug-drug interactions by graph convolutional network with multi-kernel.
    Wang F; Lei X; Liao B; Wu FX
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34864856
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 25.