145 related articles for article (PubMed ID: 38243340)
1. Multi-omics integration with weighted affinity and self-diffusion applied for cancer subtypes identification.
Duan X; Ding X; Zhao Z
J Transl Med; 2024 Jan; 22(1):79. PubMed ID: 38243340
[TBL] [Abstract][Full Text] [Related]
2. Subtype-MGTP: a cancer subtype identification framework based on multi-omics translation.
Xie M; Kuang Y; Song M; Bao E
Bioinformatics; 2024 Jun; 40(6):. PubMed ID: 38857453
[TBL] [Abstract][Full Text] [Related]
3. WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.
Sun Y; Ou-Yang L; Dai DQ
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2891-2897. PubMed ID: 33656995
[TBL] [Abstract][Full Text] [Related]
4. A Multiview Clustering Method With Low-Rank and Sparsity Constraints for Cancer Subtyping.
Zhanpeng H; Jiekang W
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3213-3223. PubMed ID: 34705654
[TBL] [Abstract][Full Text] [Related]
5. Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data.
Zhao J; Zhao B; Song X; Lyu C; Chen W; Xiong Y; Wei DQ
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36702755
[TBL] [Abstract][Full Text] [Related]
6. Multi-omics clustering for cancer subtyping based on latent subspace learning.
Ye X; Shang Y; Shi T; Zhang W; Sakurai T
Comput Biol Med; 2023 Sep; 164():107223. PubMed ID: 37490833
[TBL] [Abstract][Full Text] [Related]
7. Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning.
Wei Y; Li L; Zhao X; Yang H; Sa J; Cao H; Cui Y
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36433785
[TBL] [Abstract][Full Text] [Related]
8. wMKL: multi-omics data integration enables novel cancer subtype identification via weight-boosted multi-kernel learning.
Cao H; Jia C; Li Z; Yang H; Fang R; Zhang Y; Cui Y
Br J Cancer; 2024 Apr; 130(6):1001-1012. PubMed ID: 38278975
[TBL] [Abstract][Full Text] [Related]
9. Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping.
Cai Y; Wang S
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38426322
[TBL] [Abstract][Full Text] [Related]
10. Autoencoder-assisted latent representation learning for survival prediction and multi-view clustering on multi-omics cancer subtyping.
Zhu S; Wang W; Fang W; Cui M
Math Biosci Eng; 2023 Nov; 20(12):21098-21119. PubMed ID: 38124589
[TBL] [Abstract][Full Text] [Related]
11. Deep structure integrative representation of multi-omics data for cancer subtyping.
Yang B; Yang Y; Su X
Bioinformatics; 2022 Jun; 38(13):3337-3342. PubMed ID: 35639657
[TBL] [Abstract][Full Text] [Related]
12. Interactive gene identification for cancer subtyping based on multi-omics clustering.
Ye X; Shi T; Cui Y; Sakurai T
Methods; 2023 Mar; 211():61-67. PubMed ID: 36804215
[TBL] [Abstract][Full Text] [Related]
13. NEMO: cancer subtyping by integration of partial multi-omic data.
Rappoport N; Shamir R
Bioinformatics; 2019 Sep; 35(18):3348-3356. PubMed ID: 30698637
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma.
Li W; Huang Q; Peng Y; Pan S; Hu M; Wang P; He Y
J Cancer Res Clin Oncol; 2023 Nov; 149(17):15923-15938. PubMed ID: 37673824
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Paired single-cell multi-omics data integration with Mowgli.
Huizing GJ; Deutschmann IM; Peyré G; Cantini L
Nat Commun; 2023 Nov; 14(1):7711. PubMed ID: 38001063
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping.
Madhumita ; Paul S
Comput Biol Med; 2022 Sep; 148():105832. PubMed ID: 35834966
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]