212 related articles for article (PubMed ID: 37083575)
1. Deep learning on graphs for multi-omics classification of COPD.
Zhuang Y; Xing F; Ghosh D; Hobbs BD; Hersh CP; Banaei-Kashani F; Bowler RP; Kechris K
PLoS One; 2023; 18(4):e0284563. PubMed ID: 37083575
[TBL] [Abstract][Full Text] [Related]
2. An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning.
Zhuang Y; Xing F; Ghosh D; Banaei-Kashani F; Bowler RP; Kechris K
Front Genet; 2021; 12():760299. PubMed ID: 35154240
[TBL] [Abstract][Full Text] [Related]
3. Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer.
Chereda H; Bleckmann A; Menck K; Perera-Bel J; Stegmaier P; Auer F; Kramer F; Leha A; Beißbarth T
Genome Med; 2021 Mar; 13(1):42. PubMed ID: 33706810
[TBL] [Abstract][Full Text] [Related]
4. Prior knowledge-guided multilevel graph neural network for tumor risk prediction and interpretation via multi-omics data integration.
Yan H; Weng D; Li D; Gu Y; Ma W; Liu Q
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38670157
[TBL] [Abstract][Full Text] [Related]
5. Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.
Zhang Y; Xiong S; Wang Z; Liu Y; Luo H; Li B; Zou Q
Methods; 2023 May; 213():1-9. PubMed ID: 36933628
[TBL] [Abstract][Full Text] [Related]
6. Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.
Xiao S; Lin H; Wang C; Wang S; Rajapakse JC
IEEE J Biomed Health Inform; 2023 Sep; 27(9):4591-4600. PubMed ID: 37307177
[TBL] [Abstract][Full Text] [Related]
7. Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer.
Chereda H; Leha A; Beißbarth T
Artif Intell Med; 2024 May; 151():102840. PubMed ID: 38658129
[TBL] [Abstract][Full Text] [Related]
8. A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction.
Li S; Zhang R
Neural Netw; 2024 Jul; 175():106285. PubMed ID: 38593556
[TBL] [Abstract][Full Text] [Related]
9. A multimodal graph neural network framework for cancer molecular subtype classification.
Li B; Nabavi S
BMC Bioinformatics; 2024 Jan; 25(1):27. PubMed ID: 38225583
[TBL] [Abstract][Full Text] [Related]
10. Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.
Zhu J; Oh JH; Simhal AK; Elkin R; Norton L; Deasy JO; Tannenbaum A
Comput Biol Med; 2023 Sep; 163():107117. PubMed ID: 37329617
[TBL] [Abstract][Full Text] [Related]
11. Multimodal deep representation learning for protein interaction identification and protein family classification.
Zhang D; Kabuka M
BMC Bioinformatics; 2019 Dec; 20(Suppl 16):531. PubMed ID: 31787089
[TBL] [Abstract][Full Text] [Related]
12. 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; 23(1):82. PubMed ID: 37147619
[TBL] [Abstract][Full Text] [Related]
13. DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants.
Wang K; Abid MA; Rasheed A; Crossa J; Hearne S; Li H
Mol Plant; 2023 Jan; 16(1):279-293. PubMed ID: 36366781
[TBL] [Abstract][Full Text] [Related]
14. A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
Azadifar S; Ahmadi A
BMC Bioinformatics; 2022 Oct; 23(1):422. PubMed ID: 36241966
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Architectures and accuracy of artificial neural network for disease classification from omics data.
Yu H; Samuels DC; Zhao YY; Guo Y
BMC Genomics; 2019 Mar; 20(1):167. PubMed ID: 30832569
[TBL] [Abstract][Full Text] [Related]
17. Molecular Classification and Interpretation of Amyotrophic Lateral Sclerosis Using Deep Convolution Neural Networks and Shapley Values.
Karim A; Su Z; West PK; Keon M; The Nygc Als Consortium ; Shamsani J; Brennan S; Wong T; Milicevic O; Teunisse G; Rad HN; Sattar A
Genes (Basel); 2021 Oct; 12(11):. PubMed ID: 34828360
[TBL] [Abstract][Full Text] [Related]
18. Smooth Bayesian network model for the prediction of future high-cost patients with COPD.
Lin S; Zhang Q; Chen F; Luo L; Chen L; Zhang W
Int J Med Inform; 2019 Jun; 126():147-155. PubMed ID: 31029256
[TBL] [Abstract][Full Text] [Related]
19. Convolutional graph neural networks-based research on estimating heavy metal concentrations in a soil-rice system.
Zhang Z; Li Y; Bai Y; Li Y; Liu M
Environ Sci Pollut Res Int; 2023 Mar; 30(15):44100-44111. PubMed ID: 36689113
[TBL] [Abstract][Full Text] [Related]
20. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]