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Journal Abstract Search

577 related items for PubMed ID: 38225583

  • 21. A classification method of gastric cancer subtype based on residual graph convolution network.
    Liu C, Duan Y, Zhou Q, Wang Y, Gao Y, Kan H, Hu J.
    Front Genet; 2022; 13():1090394. PubMed ID: 36685956
    [Abstract] [Full Text] [Related]

  • 22. moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks.
    Choi JM, Chae H.
    BMC Bioinformatics; 2023 Apr 26; 24(1):169. PubMed ID: 37101124
    [Abstract] [Full Text] [Related]

  • 23. Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification.
    Shi S, Qiao K, Yang S, Wang L, Chen J, Yan B.
    Front Neurorobot; 2021 Apr 26; 15():775688. PubMed ID: 34899230
    [Abstract] [Full Text] [Related]

  • 24. A denoised multi-omics integration framework for cancer subtype classification and survival prediction.
    Pang J, Liang B, Ding R, Yan Q, Chen R, Xu J.
    Brief Bioinform; 2023 Sep 20; 24(5):. PubMed ID: 37594302
    [Abstract] [Full Text] [Related]

  • 25. Multi-View Spectral Clustering Based on Multi-Smooth Representation Fusion for Cancer Subtype Prediction.
    Liu J, Ge S, Cheng Y, Wang X.
    Front Genet; 2021 Sep 20; 12():718915. PubMed ID: 34552619
    [Abstract] [Full Text] [Related]

  • 26. Augmented Graph Neural Network with hierarchical global-based residual connections.
    Rassil A, Chougrad H, Zouaki H.
    Neural Netw; 2022 Jun 20; 150():149-166. PubMed ID: 35313247
    [Abstract] [Full Text] [Related]

  • 27. Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping.
    Madhumita, Paul S.
    Comput Biol Med; 2022 Sep 20; 148():105832. PubMed ID: 35834966
    [Abstract] [Full Text] [Related]

  • 28. MOSDNET: A multi-omics classification framework using simplified multi-view deep discriminant representation learning and dynamic edge GCN with multi-task learning.
    Li M, Chen Z, Deng S, Wang L, Yu X.
    Comput Biol Med; 2024 Oct 20; 181():109040. PubMed ID: 39168014
    [Abstract] [Full Text] [Related]

  • 29. FGCNSurv: dually fused graph convolutional network for multi-omics survival prediction.
    Wen G, Li L.
    Bioinformatics; 2023 Aug 01; 39(8):. PubMed ID: 37522887
    [Abstract] [Full Text] [Related]

  • 30. A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
    Gao Z, Lu Z, Wang J, Ying S, Shi J.
    IEEE J Biomed Health Inform; 2022 Jul 01; 26(7):3163-3173. PubMed ID: 35196251
    [Abstract] [Full Text] [Related]

  • 31. SADLN: Self-attention based deep learning network of integrating multi-omics data for cancer subtype recognition.
    Sun Q, Cheng L, Meng A, Ge S, Chen J, Zhang L, Gong P.
    Front Genet; 2022 Jul 01; 13():1032768. PubMed ID: 36685873
    [Abstract] [Full Text] [Related]

  • 32. Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data.
    Lin Y, Zhang W, Cao H, Li G, Du W.
    Genes (Basel); 2020 Aug 04; 11(8):. PubMed ID: 32759821
    [Abstract] [Full Text] [Related]

  • 33. [Identification of breast cancer subtypes based on graph convolutional network].
    An Y, Liu X, Chen H, Wan G.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Feb 25; 41(1):121-128. PubMed ID: 38403612
    [Abstract] [Full Text] [Related]

  • 34. Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks.
    Chan YH, Wang C, Soh WK, Rajapakse JC.
    Front Neurosci; 2022 Feb 25; 16():866666. PubMed ID: 35677355
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  • 35. MultiGATAE: A Novel Cancer Subtype Identification Method Based on Multi-Omics and Attention Mechanism.
    Zhang G, Peng Z, Yan C, Wang J, Luo J, Luo H.
    Front Genet; 2022 Feb 25; 13():855629. PubMed ID: 35391797
    [Abstract] [Full Text] [Related]

  • 36. NNBGWO-BRCA marker: Neural Network and binary grey wolf optimization based Breast cancer biomarker discovery framework using multi-omics dataset.
    Li M, Cai Y, Zhang M, Deng S, Wang L.
    Comput Methods Programs Biomed; 2024 Sep 25; 254():108291. PubMed ID: 38909399
    [Abstract] [Full Text] [Related]

  • 37. MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.
    Zhong Y, Peng Y, Lin Y, Chen D, Zhang H, Zheng W, Chen Y, Wu C.
    BMC Med Inform Decis Mak; 2023 May 05; 23(1):82. PubMed ID: 37147619
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  • 38. Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication.
    Yao X, Yang H, Sheng M.
    Entropy (Basel); 2023 Jul 21; 25(7):. PubMed ID: 37510043
    [Abstract] [Full Text] [Related]

  • 39. Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities.
    Itoh TD, Kubo T, Ikeda K.
    Neural Netw; 2022 Jan 21; 145():356-373. PubMed ID: 34808587
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  • 40. An integrative deep learning framework for classifying molecular subtypes of breast cancer.
    Mohaiminul Islam M, Huang S, Ajwad R, Chi C, Wang Y, Hu P.
    Comput Struct Biotechnol J; 2020 Jan 21; 18():2185-2199. PubMed ID: 32952934
    [Abstract] [Full Text] [Related]

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