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 *

109 related articles for article (PubMed ID: 37920888)

  • 21. KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations.
    Wu J; Ning Z; Ding Y; Wang Y; Peng Q; Fu L
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37587836
    [TBL] [Abstract][Full Text] [Related]  

  • 22. LION: an integrated R package for effective prediction of ncRNA-protein interaction.
    Han S; Yang X; Sun H; Yang H; Zhang Q; Peng C; Fang W; Li Y
    Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36155620
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
    Sheng N; Wang Y; Huang L; Gao L; Cao Y; Xie X; Fu Y
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37529914
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks.
    Ma Y; Zhang H; Jin C; Kang C
    Front Genet; 2023; 14():1136672. PubMed ID: 36845380
    [No Abstract]   [Full Text] [Related]  

  • 25. Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
    Li XS; Liu X; Lu L; Hua XS; Chi Y; Xia K
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35696650
    [TBL] [Abstract][Full Text] [Related]  

  • 26. IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction.
    Pan X; Fan YX; Yan J; Shen HB
    BMC Genomics; 2016 Aug; 17():582. PubMed ID: 27506469
    [TBL] [Abstract][Full Text] [Related]  

  • 27. GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions.
    Du ZH; Wu YH; Huang YA; Chen J; Pan GQ; Hu L; You ZH; Li JQ
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35511108
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations.
    Shi Z; Zhang H; Jin C; Quan X; Yin Y
    BMC Bioinformatics; 2021 Mar; 22(1):136. PubMed ID: 33745450
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identify ncRNA Subcellular Localization via Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning.
    Zhou H; Wang H; Tang J; Ding Y; Guo F
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3517-3529. PubMed ID: 34432632
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning.
    Wang T; Li Z; Zhuo L; Chen Y; Fu X; Zou Q
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38555479
    [TBL] [Abstract][Full Text] [Related]  

  • 31. DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science.
    Li M; Zhou J; Hu J; Fan W; Zhang Y; Gu Y; Karypis G
    ACS Omega; 2021 Oct; 6(41):27233-27238. PubMed ID: 34693143
    [TBL] [Abstract][Full Text] [Related]  

  • 32. DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.
    Zeng M; Wu Y; Lu C; Zhang F; Wu FX; Li M
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34498677
    [TBL] [Abstract][Full Text] [Related]  

  • 33. GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning.
    Wei J; Zhuo L; Zhou Z; Lian X; Fu X; Yao X
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37427977
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
    Xuan P; Wang S; Cui H; Zhao Y; Zhang T; Wu P
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36088549
    [TBL] [Abstract][Full Text] [Related]  

  • 36. NPInter v4.0: an integrated database of ncRNA interactions.
    Teng X; Chen X; Xue H; Tang Y; Zhang P; Kang Q; Hao Y; Chen R; Zhao Y; He S
    Nucleic Acids Res; 2020 Jan; 48(D1):D160-D165. PubMed ID: 31670377
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation.
    Niu M; Wang C; Zhang Z; Zou Q
    BMC Biol; 2024 Jan; 22(1):24. PubMed ID: 38281919
    [TBL] [Abstract][Full Text] [Related]  

  • 38. ncRPheno: a comprehensive database platform for identification and validation of disease related noncoding RNAs.
    Zhang W; Yao G; Wang J; Yang M; Wang J; Zhang H; Li W
    RNA Biol; 2020 Jul; 17(7):943-955. PubMed ID: 32122231
    [TBL] [Abstract][Full Text] [Related]  

  • 39. SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction.
    Zhang S; Jin Y; Liu T; Wang Q; Zhang Z; Zhao S; Shan B
    ACS Omega; 2023 Jun; 8(25):22496-22507. PubMed ID: 37396234
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 6.