159 related articles for article (PubMed ID: 37930028)
1. scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data.
Li W; Xiang B; Yang F; Rong Y; Yin Y; Yao J; Zhang H
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37930028
[TBL] [Abstract][Full Text] [Related]
2. Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types.
Wu W; Zhang W; Ma X
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35043143
[TBL] [Abstract][Full Text] [Related]
3. A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping.
Sathyanarayanan A; Gupta R; Thompson EW; Nyholt DR; Bauer DC; Nagaraj SH
Brief Bioinform; 2020 Dec; 21(6):1920-1936. PubMed ID: 31774481
[TBL] [Abstract][Full Text] [Related]
4. A multi-scale self-supervised hypergraph contrastive learning framework for video question answering.
Wang Z; Wu B; Ota K; Dong M; Li H
Neural Netw; 2023 Nov; 168():272-286. PubMed ID: 37774513
[TBL] [Abstract][Full Text] [Related]
5. Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss.
Liu C; Wang L; Liu Z
BMC Bioinformatics; 2023 Jan; 24(1):5. PubMed ID: 36600199
[TBL] [Abstract][Full Text] [Related]
6. HyperGCN: an effective deep representation learning framework for the integrative analysis of spatial transcriptomics data.
Ma Y; Liu L; Zhao Y; Hang B; Zhang Y
BMC Genomics; 2024 Jun; 25(1):566. PubMed ID: 38840049
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification.
Chung RH; Kang CY
Gigascience; 2019 May; 8(5):. PubMed ID: 31029063
[TBL] [Abstract][Full Text] [Related]
9. Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer.
Tong L; Wu H; Wang MD
Methods; 2021 May; 189():74-85. PubMed ID: 32763377
[TBL] [Abstract][Full Text] [Related]
10. An integrated multi-omics approach to identify regulatory mechanisms in cancer metastatic processes.
Ghaffari S; Hanson C; Schmidt RE; Bouchonville KJ; Offer SM; Sinha S
Genome Biol; 2021 Jan; 22(1):19. PubMed ID: 33413550
[TBL] [Abstract][Full Text] [Related]
11. Prediction of multi-relational drug-gene interaction via Dynamic hyperGraph Contrastive Learning.
Tao W; Liu Y; Lin X; Song B; Zeng X
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37864294
[TBL] [Abstract][Full Text] [Related]
12. Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Wang J; Li H; Qu G; Cecil KM; Dillman JR; Parikh NA; He L
Med Image Anal; 2023 Jul; 87():102828. PubMed ID: 37130507
[TBL] [Abstract][Full Text] [Related]
13. Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data.
Kedaigle AJ; Fraenkel E
Methods Mol Biol; 2018; 1711():13-26. PubMed ID: 29344883
[TBL] [Abstract][Full Text] [Related]
14. Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
Wu MJ; Gao YL; Liu JX; Zheng CH; Wang J
IEEE J Biomed Health Inform; 2020 Jun; 24(6):1823-1834. PubMed ID: 31634852
[TBL] [Abstract][Full Text] [Related]
15. HGNN
Gao Y; Feng Y; Ji S; Ji R
IEEE Trans Pattern Anal Mach Intell; 2023 Mar; 45(3):3181-3199. PubMed ID: 35696461
[TBL] [Abstract][Full Text] [Related]
16. Contrastively generative self-expression model for single-cell and spatial multimodal data.
Zhang C; Yang Y; Tang S; Aihara K; Zhang C; Chen L
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37507114
[TBL] [Abstract][Full Text] [Related]
17. scAWMV: an adaptively weighted multi-view learning framework for the integrative analysis of parallel scRNA-seq and scATAC-seq data.
Zeng P; Ma Y; Lin Z
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36383176
[TBL] [Abstract][Full Text] [Related]
18. An overview of technologies for MS-based proteomics-centric multi-omics.
Rajczewski AT; Jagtap PD; Griffin TJ
Expert Rev Proteomics; 2022 Mar; 19(3):165-181. PubMed ID: 35466851
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Robust joint clustering of multi-omics single-cell data via multi-modal high-order neighborhood Laplacian matrix optimization.
Jiang H; Zhan S; Ching WK; Chen L
Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37382572
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
