230 related articles for article (PubMed ID: 35925427)
1. 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]
2. OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data.
Zhang X; Xing Y; Sun K; Guo Y
Cancers (Basel); 2021 Jun; 13(12):. PubMed ID: 34207255
[TBL] [Abstract][Full Text] [Related]
3. AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classification.
Li M; Guo H; Wang K; Kang C; Yin Y; Zhang H
Comput Biol Med; 2024 Jul; 177():108614. PubMed ID: 38796884
[TBL] [Abstract][Full Text] [Related]
4. Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification.
Ouyang D; Liang Y; Li L; Ai N; Lu S; Yu M; Liu X; Xie S
Comput Biol Med; 2023 Sep; 164():107303. PubMed ID: 37586201
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. TEMINET: A Co-Informative and Trustworthy Multi-Omics Integration Network for Diagnostic Prediction.
Luo H; Liang H; Liu H; Fan Z; Wei Y; Yao X; Cong S
Int J Mol Sci; 2024 Jan; 25(3):. PubMed ID: 38338932
[TBL] [Abstract][Full Text] [Related]
7. CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.
Zhao C; Liu A; Zhang X; Cao X; Ding Z; Sha Q; Shen H; Deng HW; Zhou W
Res Sq; 2023 May; ():. PubMed ID: 37205427
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. 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]
12. MMDAE-HGSOC: A novel method for high-grade serous ovarian cancer molecular subtypes classification based on multi-modal deep autoencoder.
Wang HQ; Li HL; Han JL; Feng ZP; Deng HX; Han X
Comput Biol Chem; 2023 Aug; 105():107906. PubMed ID: 37336028
[TBL] [Abstract][Full Text] [Related]
13. Multimodal deep learning approaches for single-cell multi-omics data integration.
Athaya T; Ripan RC; Li X; Hu H
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37651607
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Multi-view spectral clustering with latent representation learning for applications on multi-omics cancer subtyping.
Ge S; Liu J; Cheng Y; Meng X; Wang X
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36445207
[TBL] [Abstract][Full Text] [Related]
17. CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.
Zhao C; Liu A; Zhang X; Cao X; Ding Z; Sha Q; Shen H; Deng HW; Zhou W
ArXiv; 2023 Apr; ():. PubMed ID: 37090237
[TBL] [Abstract][Full Text] [Related]
18. A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data.
Xu J; Wu P; Chen Y; Meng Q; Dawood H; Dawood H
BMC Bioinformatics; 2019 Oct; 20(1):527. PubMed ID: 31660856
[TBL] [Abstract][Full Text] [Related]
19. An integrated Bayesian framework for multi-omics prediction and classification.
Mallick H; Porwal A; Saha S; Basak P; Svetnik V; Paul E
Stat Med; 2024 Feb; 43(5):983-1002. PubMed ID: 38146838
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
