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.
244 related articles for article (PubMed ID: 35157023)
1. MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification. Moon S; Lee H Bioinformatics; 2022 Apr; 38(8):2287-2296. PubMed ID: 35157023 [TBL] [Abstract][Full Text] [Related]
2. Multi-omics data integration by generative adversarial network. Ahmed KT; Sun J; Cheng S; Yong J; Zhang W Bioinformatics; 2021 Dec; 38(1):179-186. PubMed ID: 34415323 [TBL] [Abstract][Full Text] [Related]
3. A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction. Hauptmann T; Kramer S BMC Bioinformatics; 2023 Feb; 24(1):45. PubMed ID: 36788531 [TBL] [Abstract][Full Text] [Related]
4. Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment. Cho HJ; Shu M; Bekiranov S; Zang C; Zhang A Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 36864611 [TBL] [Abstract][Full Text] [Related]
5. Deep cross-omics cycle attention model for joint analysis of single-cell multi-omics data. Zuo C; Dai H; Chen L Bioinformatics; 2021 Nov; 37(22):4091-4099. PubMed ID: 34028557 [TBL] [Abstract][Full Text] [Related]
6. A semi-supervised approach for the integration of multi-omics data based on transformer multi-head self-attention mechanism and graph convolutional networks. Wang J; Liao N; Du X; Chen Q; Wei B BMC Genomics; 2024 Jan; 25(1):86. PubMed ID: 38254021 [TBL] [Abstract][Full Text] [Related]
7. MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery. Zhang W; Mou M; Hu W; Lu M; Zhang H; Zhang H; Luo Y; Xu H; Tao L; Dai H; Gao J; Zhu F J Chem Inf Model; 2024 Apr; 64(7):2720-2732. PubMed ID: 38373720 [TBL] [Abstract][Full Text] [Related]
8. 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; 24(5):. PubMed ID: 37594302 [TBL] [Abstract][Full Text] [Related]
9. Pathformer: a biological pathway informed transformer for disease diagnosis and prognosis using multi-omics data. Liu X; Tao Y; Cai Z; Bao P; Ma H; Li K; Li M; Zhu Y; Lu ZJ Bioinformatics; 2024 May; 40(5):. PubMed ID: 38741230 [TBL] [Abstract][Full Text] [Related]
10. HyperTMO: a trusted multi-omics integration framework based on hypergraph convolutional network for patient classification. Wang H; Lin K; Zhang Q; Shi J; Song X; Wu J; Zhao C; He K Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38530977 [TBL] [Abstract][Full Text] [Related]
11. Multi-omics integration method based on attention deep learning network for biomedical data classification. Gong P; Cheng L; Zhang Z; Meng A; Li E; Chen J; Zhang L Comput Methods Programs Biomed; 2023 Apr; 231():107377. PubMed ID: 36739624 [TBL] [Abstract][Full Text] [Related]
12. DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Lan W; Liao H; Chen Q; Zhu L; Pan Y; Chen YP Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678587 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. A cross-level information transmission network for hierarchical omics data integration and phenotype prediction from a new genotype. He D; Xie L Bioinformatics; 2021 Dec; 38(1):204-210. PubMed ID: 34390577 [TBL] [Abstract][Full Text] [Related]
16. CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. Zhao C; Liu A; Zhang X; Cao X; Ding Z; Sha Q; Shen H; Deng HW; Zhou W Comput Biol Med; 2024 Mar; 170():108058. PubMed ID: 38295477 [TBL] [Abstract][Full Text] [Related]
17. Uncertainty-aware dynamic integration for multi-omics classification of tumors. Du L; Liu C; Wei R; Chen J J Cancer Res Clin Oncol; 2023 Jul; 149(7):3301-3312. PubMed ID: 35925427 [TBL] [Abstract][Full Text] [Related]
18. Cancer subtype identification by consensus guided graph autoencoders. Liang C; Shang M; Luo J Bioinformatics; 2021 Dec; 37(24):4779-4786. PubMed ID: 34289034 [TBL] [Abstract][Full Text] [Related]
19. moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks. Choi JM; Chae H BMC Bioinformatics; 2023 Apr; 24(1):169. PubMed ID: 37101124 [TBL] [Abstract][Full Text] [Related]
20. MUMA: a multi-omics meta-learning algorithm for data interpretation and classification. Huang HH; Shu J; Liang Y IEEE J Biomed Health Inform; 2024 Feb; PP():. PubMed ID: 38345953 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]