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.
219 related articles for article (PubMed ID: 31443039)
1. A Cancer Survival Prediction Method Based on Graph Convolutional Network. Wang C; Guo J; Zhao N; Liu Y; Liu X; Liu G; Guo M IEEE Trans Nanobioscience; 2020 Jan; 19(1):117-126. PubMed ID: 31443039 [TBL] [Abstract][Full Text] [Related]
2. Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome. Sun D; Li A; Tang B; Wang M Comput Methods Programs Biomed; 2018 Jul; 161():45-53. PubMed ID: 29852967 [TBL] [Abstract][Full Text] [Related]
3. Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks. Cai H; Liao Y; Zhu L; Wang Z; Song J IEEE J Biomed Health Inform; 2024 Feb; 28(2):1134-1143. PubMed ID: 37963003 [TBL] [Abstract][Full Text] [Related]
4. Network-based drug sensitivity prediction. Ahmed KT; Park S; Jiang Q; Yeu Y; Hwang T; Zhang W BMC Med Genomics; 2020 Dec; 13(Suppl 11):193. PubMed ID: 33371891 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. MMGCN: Multi-modal multi-view graph convolutional networks for cancer prognosis prediction. Yang P; Chen W; Qiu H Comput Methods Programs Biomed; 2024 Dec; 257():108400. PubMed ID: 39270533 [TBL] [Abstract][Full Text] [Related]
7. Semi-supervised EEG emotion recognition model based on enhanced graph fusion and GCN. Li G; Chen N; Jin J J Neural Eng; 2022 Apr; 19(2):. PubMed ID: 35378516 [No Abstract] [Full Text] [Related]
8. Gated Graph Attention Network for Cancer Prediction. Qiu L; Li H; Wang M; Wang X Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33801894 [TBL] [Abstract][Full Text] [Related]
9. Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data. López-García G; Jerez JM; Franco L; Veredas FJ PLoS One; 2020; 15(3):e0230536. PubMed ID: 32214348 [TBL] [Abstract][Full Text] [Related]
10. Improving drug response prediction based on two-space graph convolution. Peng W; Chen T; Liu H; Dai W; Yu N; Lan W Comput Biol Med; 2023 May; 158():106859. PubMed ID: 37023539 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Graph Convolution Networks with manifold regularization for semi-supervised learning. Kejani MT; Dornaika F; Talebi H Neural Netw; 2020 Jul; 127():160-167. PubMed ID: 32361546 [TBL] [Abstract][Full Text] [Related]
13. FGCNSurv: dually fused graph convolutional network for multi-omics survival prediction. Wen G; Li L Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37522887 [TBL] [Abstract][Full Text] [Related]
14. Classifying breast cancer using multi-view graph neural network based on multi-omics data. Ren Y; Gao Y; Du W; Qiao W; Li W; Yang Q; Liang Y; Li G Front Genet; 2024; 15():1363896. PubMed ID: 38444760 [No Abstract] [Full Text] [Related]
15. Essential genes identification model based on sequence feature map and graph convolutional neural network. Hu W; Li M; Xiao H; Guan L BMC Genomics; 2024 Jan; 25(1):47. PubMed ID: 38200437 [TBL] [Abstract][Full Text] [Related]
16. A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data. Shen J; Wang S; Sun H; Huang J; Bai L; Wang X; Dong Y; Tang Z BMC Med Res Methodol; 2024 May; 24(1):105. PubMed ID: 38702624 [TBL] [Abstract][Full Text] [Related]
17. CoADS: Cross attention based dual-space graph network for survival prediction of lung cancer using whole slide images. Zhao L; Hou R; Teng H; Fu X; Han Y; Zhao J Comput Methods Programs Biomed; 2023 Jun; 236():107559. PubMed ID: 37119773 [TBL] [Abstract][Full Text] [Related]
18. Convolutional neural network for human cancer types prediction by integrating protein interaction networks and omics data. Chuang YH; Huang SH; Hung TM; Lin XY; Lee JY; Lai WS; Yang JM Sci Rep; 2021 Oct; 11(1):20691. PubMed ID: 34667236 [TBL] [Abstract][Full Text] [Related]
19. Graph Neural Network-Based Diagnosis Prediction. Li Y; Qian B; Zhang X; Liu H Big Data; 2020 Oct; 8(5):379-390. PubMed ID: 32783631 [TBL] [Abstract][Full Text] [Related]
20. Drug Response Prediction Based on 1D Convolutional Neural Network and Attention Mechanism. Mingxun Z; Zhigang M; Jingyi W Comput Math Methods Med; 2022; 2022():8671348. PubMed ID: 36164615 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]