BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

272 related articles for article (PubMed ID: 37261859)

  • 1. Similarity measures-based graph co-contrastive learning for drug-disease association prediction.
    Gao Z; Ma H; Zhang X; Wang Y; Wu Z
    Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37261859
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting microbe-drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy.
    Tian Z; Yu Y; Fang H; Xie W; Guo M
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36715986
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semi-supervised heterogeneous graph contrastive learning for drug-target interaction prediction.
    Yao K; Wang X; Li W; Zhu H; Jiang Y; Li Y; Tian T; Yang Z; Liu Q; Liu Q
    Comput Biol Med; 2023 Sep; 163():107199. PubMed ID: 37421738
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SGCLDGA: unveiling drug-gene associations through simple graph contrastive learning.
    Fan Y; Zhang C; Hu X; Huang Z; Xue J; Deng L
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38754409
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Supervised graph co-contrastive learning for drug-target interaction prediction.
    Li Y; Qiao G; Gao X; Wang G
    Bioinformatics; 2022 May; 38(10):2847-2854. PubMed ID: 35561181
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.
    Du BX; Long Y; Li X; Wu M; Shi JY
    Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37572298
    [TBL] [Abstract][Full Text] [Related]  

  • 9. RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction.
    Zhang ML; Zhao BW; Su XR; He YZ; Yang Y; Hu L
    BMC Bioinformatics; 2022 Dec; 23(1):516. PubMed ID: 36456957
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Local structure-aware graph contrastive representation learning.
    Yang K; Liu Y; Zhao Z; Ding P; Zhao W
    Neural Netw; 2024 Apr; 172():106083. PubMed ID: 38182463
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Similarity-guided graph contrastive learning for lncRNA-disease association prediction.
    Chen Q; Qiu J; Lan W; Cao J
    J Mol Biol; 2024 May; ():168609. PubMed ID: 38750722
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploring ncRNA-Drug Sensitivity Associations Via Graph Contrastive Learning.
    Hu X; Jiang Y; Deng L
    IEEE/ACM Trans Comput Biol Bioinform; 2024 Apr; PP():. PubMed ID: 38578855
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A computational framework for predicting novel drug indications using graph convolutional network with contrastive learning.
    Luo Y; Shan W; Peng L; Luo L; Ding P; Liang W
    IEEE J Biomed Health Inform; 2024 Apr; PP():. PubMed ID: 38607707
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Graph Convolutional Network and Contrastive Learning Small Nucleolar RNA (snoRNA) Disease Associations (GCLSDA): Predicting snoRNA-Disease Associations via Graph Convolutional Network and Contrastive Learning.
    Zhang L; Chen M; Hu X; Deng L
    Int J Mol Sci; 2023 Sep; 24(19):. PubMed ID: 37833876
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Contrastive learning of graphs under label noise.
    Li X; Li Q; Li D; Qian H; Wang J
    Neural Netw; 2024 Apr; 172():106113. PubMed ID: 38232430
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-view contrastive heterogeneous graph attention network for lncRNA-disease association prediction.
    Zhao X; Wu J; Zhao X; Yin M
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36528809
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hierarchical graph transformer with contrastive learning for protein function prediction.
    Gu Z; Luo X; Chen J; Deng M; Lai L
    Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37369035
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of multi-relational drug-gene interaction via Dynamic hyperGraph Contrastive Learning.
    Tao W; Liu Y; Lin X; Song B; Zeng X
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37864294
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.