389 related articles for article (PubMed ID: 36864611)
1. 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]
2. 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]
3. COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data.
Ditz JC; Reuter B; Pfeifer N
Bioinformatics; 2023 Jun; 39(39 Suppl 1):i76-i85. PubMed ID: 37387152
[TBL] [Abstract][Full Text] [Related]
4. Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE).
Ma T; Zhang A
BMC Genomics; 2019 Dec; 20(Suppl 11):944. PubMed ID: 31856727
[TBL] [Abstract][Full Text] [Related]
5. A critical review of machine-learning for "multi-omics" marine metabolite datasets.
Manochkumar J; Cherukuri AK; Kumar RS; Almansour AI; Ramamoorthy S; Efferth T
Comput Biol Med; 2023 Oct; 165():107425. PubMed ID: 37696182
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
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. Clustering single-cell multi-omics data via graph regularized multi-view ensemble learning.
Chen F; Zou G; Wu Y; Ou-Yang L
Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38547401
[TBL] [Abstract][Full Text] [Related]
10. MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data.
Rong Z; Liu Z; Song J; Cao L; Yu Y; Qiu M; Hou Y
Comput Biol Med; 2022 Nov; 150():106085. PubMed ID: 36162197
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Dealing with dimensionality: the application of machine learning to multi-omics data.
Feldner-Busztin D; Firbas Nisantzis P; Edmunds SJ; Boza G; Racimo F; Gopalakrishnan S; Limborg MT; Lahti L; de Polavieja GG
Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36637211
[TBL] [Abstract][Full Text] [Related]
14. Multi-agent Feature Selection for Integrative Multi-omics Analysis.
Tabakhi S; Lu H
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1638-1642. PubMed ID: 36086594
[TBL] [Abstract][Full Text] [Related]
15. MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis.
Li X; Ma J; Leng L; Han M; Li M; He F; Zhu Y
Front Genet; 2022; 13():806842. PubMed ID: 35186034
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
Poirion OB; Jing Z; Chaudhary K; Huang S; Garmire LX
Genome Med; 2021 Jul; 13(1):112. PubMed ID: 34261540
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. MRGCN: cancer subtyping with multi-reconstruction graph convolutional network using full and partial multi-omics dataset.
Yang B; Yang Y; Wang M; Su X
Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37255323
[TBL] [Abstract][Full Text] [Related]
20. scMNMF: a novel method for single-cell multi-omics clustering based on matrix factorization.
Qiu Y; Guo D; Zhao P; Zou Q
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38754408
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
