BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

206 related articles for article (PubMed ID: 38523272)

  • 21. Identification of associations between lncRNA and drug resistance based on deep learning and attention mechanism.
    Gao M; Shang X
    Front Microbiol; 2023; 14():1147778. PubMed ID: 37180267
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion.
    Jin Z; Wang M; Tang C; Zheng X; Zhang W; Sha X; An S
    Comput Biol Med; 2024 Feb; 169():107904. PubMed ID: 38181611
    [TBL] [Abstract][Full Text] [Related]  

  • 23. MFPINC: prediction of plant ncRNAs based on multi-source feature fusion.
    Nie Z; Gao M; Jin X; Rao Y; Zhang X
    BMC Genomics; 2024 May; 25(1):531. PubMed ID: 38816689
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action Perspective.
    Bang D; Gu J; Park J; Jeong D; Koo B; Yi J; Shin J; Jung I; Kim S; Lee S
    Int J Mol Sci; 2022 Sep; 23(19):. PubMed ID: 36232792
    [TBL] [Abstract][Full Text] [Related]  

  • 25. IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network.
    Hu X; Zhang P; Liu D; Zhang J; Zhang Y; Dong Y; Fan Y; Deng L
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38647155
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A model for predicting ncRNA-protein interactions based on graph neural networks and community detection.
    Zhuo L; Chen Y; Song B; Liu Y; Su Y
    Methods; 2022 Nov; 207():74-80. PubMed ID: 36108992
    [TBL] [Abstract][Full Text] [Related]  

  • 27. ncRNA-disease association prediction based on sequence information and tripartite network.
    Mori T; Ngouv H; Hayashida M; Akutsu T; Nacher JC
    BMC Syst Biol; 2018 Apr; 12(Suppl 1):37. PubMed ID: 29671405
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs.
    Asim MN; Ibrahim MA; Imran Malik M; Dengel A; Ahmed S
    Int J Mol Sci; 2021 Aug; 22(16):. PubMed ID: 34445436
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predicting associations between CircRNA and diseases through structure-aware graph transformer and path-integral convolution.
    Wu J; Lu P; Zhang W
    Anal Biochem; 2024 Sep; 692():115554. PubMed ID: 38710353
    [TBL] [Abstract][Full Text] [Related]  

  • 30. AMPCDA: Prediction of circRNA-disease associations by utilizing attention mechanisms on metapaths.
    Lu P; Zhang W; Wu J
    Comput Biol Chem; 2024 Feb; 108():107989. PubMed ID: 38016366
    [TBL] [Abstract][Full Text] [Related]  

  • 31. REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction.
    Gu Y; Zheng S; Yin Q; Jiang R; Li J
    Comput Biol Med; 2022 Nov; 150():106127. PubMed ID: 36182762
    [TBL] [Abstract][Full Text] [Related]  

  • 32. HKFGCN: A novel multiple kernel fusion framework on graph convolutional network to predict microbe-drug associations.
    Wu Z; Li S; Luo L; Ding P
    Comput Biol Chem; 2024 Jun; 110():108041. PubMed ID: 38471354
    [TBL] [Abstract][Full Text] [Related]  

  • 33. SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction.
    Ma M; Na S; Zhang X; Chen C; Xu J
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36037084
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DTiGNN: Learning drug-target embedding from a heterogeneous biological network based on a two-level attention-based graph neural network.
    Muniyappan S; Rayan AXA; Varrieth GT
    Math Biosci Eng; 2023 Mar; 20(5):9530-9571. PubMed ID: 37161255
    [TBL] [Abstract][Full Text] [Related]  

  • 35. BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information.
    Zhan ZH; Jia LN; Zhou Y; Li LP; Yi HC
    Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30813451
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of lncRNA and disease associations based on residual graph convolutional networks with attention mechanism.
    Wang S; Qiao J; Feng S
    Sci Rep; 2024 Mar; 14(1):5185. PubMed ID: 38431702
    [TBL] [Abstract][Full Text] [Related]  

  • 37. LR-GNN: a graph neural network based on link representation for predicting molecular associations.
    Kang C; Zhang H; Liu Z; Huang S; Yin Y
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34889446
    [TBL] [Abstract][Full Text] [Related]  

  • 38. DSSGNN-PPI: A Protein-Protein Interactions prediction model based on Double Structure and Sequence graph neural networks.
    Zhang F; Chang S; Wang B; Zhang X
    Comput Biol Med; 2024 Jul; 177():108669. PubMed ID: 38833802
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. NPI-DCGNN: An Accurate Tool for Identifying ncRNA-Protein Interactions Using a Dual-Channel Graph Neural Network.
    Zhang X; Zhao L; Chai Z; Wu H; Yang W; Li C; Jiang Y; Liu Q
    J Comput Biol; 2024 Jun; ():. PubMed ID: 38923911
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.