BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 36295013)

  • 21. NMCMDA: neural multicategory MiRNA-disease association prediction.
    Wang J; Li J; Yue K; Wang L; Ma Y; Li Q
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33778850
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.
    Tang X; Luo J; Shen C; Lai Z
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33963829
    [TBL] [Abstract][Full Text] [Related]  

  • 23. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.
    Chen X; Yin J; Qu J; Huang L
    PLoS Comput Biol; 2018 Aug; 14(8):e1006418. PubMed ID: 30142158
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction.
    He M; Huang C; Liu B; Wang Y; Li J
    BMC Bioinformatics; 2021 Mar; 22(1):165. PubMed ID: 33781206
    [TBL] [Abstract][Full Text] [Related]  

  • 25. MiRNA-disease association prediction based on meta-paths.
    Yu L; Zheng Y; Gao L
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35018405
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction.
    Zhao C; Qiu Y; Zhou S; Liu S; Zhang W; Niu Y
    BMC Genomics; 2020 Dec; 21(Suppl 13):867. PubMed ID: 33334307
    [TBL] [Abstract][Full Text] [Related]  

  • 27. TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction.
    Chen X; Qu J; Yin J
    Front Genet; 2018; 9():234. PubMed ID: 30018632
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting miRNA-Disease Associations Based on Heterogeneous Graph Attention Networks.
    Ji C; Wang Y; Ni J; Zheng C; Su Y
    Front Genet; 2021; 12():727744. PubMed ID: 34512733
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs.
    Le DH; Verbeke L; Son LH; Chu DT; Pham VH
    BMC Bioinformatics; 2017 Nov; 18(1):479. PubMed ID: 29137601
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Predicting miRNA-disease associations based on graph attention network with multi-source information.
    Li G; Fang T; Zhang Y; Liang C; Xiao Q; Luo J
    BMC Bioinformatics; 2022 Jun; 23(1):244. PubMed ID: 35729531
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
    Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
    Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predicting miRNA-disease associations via learning multimodal networks and fusing mixed neighborhood information.
    Lou Z; Cheng Z; Li H; Teng Z; Liu Y; Tian Z
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35524503
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.
    Sheng N; Huang L; Wang Y; Zhao J; Xuan P; Gao L; Cao Y
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35108355
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network.
    Zhang X; Yin J; Zhang X
    Genes (Basel); 2018 Mar; 9(3):. PubMed ID: 29498680
    [TBL] [Abstract][Full Text] [Related]  

  • 35. SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.
    Zhang G; Li M; Deng H; Xu X; Liu X; Zhang W
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34875683
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of MiRNA-Disease Associations Based on Information of Multi-Module and Meta-Path.
    Li Z; Huang X; Shi Y; Zou X; Li Z; Dai Z
    Molecules; 2022 Jul; 27(14):. PubMed ID: 35889314
    [TBL] [Abstract][Full Text] [Related]  

  • 37. HNMDA: heterogeneous network-based miRNA-disease association prediction.
    Peng LH; Sun CN; Guan NN; Li JQ; Chen X
    Mol Genet Genomics; 2018 Aug; 293(4):983-995. PubMed ID: 29687157
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A graph auto-encoder model for miRNA-disease associations prediction.
    Li Z; Li J; Nie R; You ZH; Bao W
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 34293850
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion.
    Li X; Wang J; Tan J; Ji S; Jia H
    Multimed Tools Appl; 2022; 81(30):43753-43775. PubMed ID: 35668823
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network.
    Feng H; Xiang Y; Wang X; Xue W; Yue Z
    BMC Bioinformatics; 2022 Jul; 23(1):271. PubMed ID: 35820798
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.