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: 39386572)

  • 21. A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation.
    Jia X; Luo W; Li J; Xing J; Sun H; Wu S; Su X
    BMC Bioinformatics; 2024 Jun; 25(1):214. PubMed ID: 38877401
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Co-Embedding of Nodes and Edges With Graph Neural Networks.
    Jiang X; Zhu R; Ji P; Li S
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7075-7086. PubMed ID: 33052851
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Incorporating genetic networks into case-control association studies with high-dimensional DNA methylation data.
    Kim K; Sun H
    BMC Bioinformatics; 2019 Oct; 20(1):510. PubMed ID: 31640538
    [TBL] [Abstract][Full Text] [Related]  

  • 24. STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering.
    Peng L; He X; Peng X; Li Z; Zhang L
    Comput Biol Med; 2023 Nov; 166():107440. PubMed ID: 37738898
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Bayesian Network Marker Selection via the Thresholded Graph Laplacian Gaussian Prior.
    Cai Q; Kang J; Yu T
    Bayesian Anal; 2020 Mar; 15(1):79-102. PubMed ID: 32802246
    [TBL] [Abstract][Full Text] [Related]  

  • 26. MeDiA: Mean Distance Association and Its Applications in Nonlinear Gene Set Analysis.
    Peng H; Ma J; Bai Y; Lu J; Yu T
    PLoS One; 2015; 10(4):e0124620. PubMed ID: 25915206
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Collaborative learning of graph generation, clustering and classification for brain networks diagnosis.
    Yang W; Wen G; Cao P; Yang J; Zaiane OR
    Comput Methods Programs Biomed; 2022 Jun; 219():106772. PubMed ID: 35395591
    [TBL] [Abstract][Full Text] [Related]  

  • 28. MIGGRI: A multi-instance graph neural network model for inferring gene regulatory networks for Drosophila from spatial expression images.
    Huang Y; Yu G; Yang Y
    PLoS Comput Biol; 2023 Nov; 19(11):e1011623. PubMed ID: 37939200
    [TBL] [Abstract][Full Text] [Related]  

  • 29. MNC-Net: Multi-task graph structure learning based on node clustering for early Parkinson's disease diagnosis.
    Huang L; Ye X; Yang M; Pan L; Zheng SH
    Comput Biol Med; 2023 Jan; 152():106308. PubMed ID: 36462371
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Graph global attention network with memory: A deep learning approach for fake news detection.
    Chang Q; Li X; Duan Z
    Neural Netw; 2024 Apr; 172():106115. PubMed ID: 38219679
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A brain structure learning-guided multi-view graph representation learning for brain network analysis.
    Wang T; Ding Z; Yang X; Chen Y; Lu C; Sun Y
    Quant Imaging Med Surg; 2024 Sep; 14(9):6294-6310. PubMed ID: 39281155
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A novel hybrid framework for metabolic pathways prediction based on the graph attention network.
    Yang Z; Liu J; Shah HA; Feng J
    BMC Bioinformatics; 2022 Sep; 23(Suppl 5):329. PubMed ID: 36171550
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MIDAS: Mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data.
    Lee S; Park Y; Kim S
    Methods; 2017 Jul; 124():13-24. PubMed ID: 28579402
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data.
    Kong Y; Yu T
    Bioinformatics; 2018 Nov; 34(21):3727-3737. PubMed ID: 29850911
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data.
    Mallik S; Seth S; Bhadra T; Zhao Z
    Genes (Basel); 2020 Aug; 11(8):. PubMed ID: 32806782
    [TBL] [Abstract][Full Text] [Related]  

  • 37. LGNN: a novel linear graph neural network algorithm.
    Cao S; Wang X; Ye Z; Li M; Zhao H
    Front Comput Neurosci; 2023; 17():1288842. PubMed ID: 38077749
    [TBL] [Abstract][Full Text] [Related]  

  • 38. [Study on the Difference of Gene Expression between Central and Peripheral Lung Squamous Cell Carcinoma Based on TCGA Database].
    Li W; Li Y; Zhang H; Li Y; Yuan Y; Gong H; Wei S; Liu H; Chen J
    Zhongguo Fei Ai Za Zhi; 2019 May; 22(5):280-288. PubMed ID: 31109437
    [TBL] [Abstract][Full Text] [Related]  

  • 39. MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction.
    Tanvir RB; Islam MM; Sobhan M; Luo D; Mondal AM
    Int J Mol Sci; 2024 Feb; 25(5):. PubMed ID: 38474033
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Differential reconstructed gene interaction networks for deriving toxicity threshold in chemical risk assessment.
    Yang Y; Maxwell A; Zhang X; Wang N; Perkins EJ; Zhang C; Gong P
    BMC Bioinformatics; 2013; 14 Suppl 14(Suppl 14):S3. PubMed ID: 24268022
    [TBL] [Abstract][Full Text] [Related]  

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