154 related articles for article (PubMed ID: 37590102)
1. scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics Data.
Zeng P; Lin Z
IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(1):200-207. PubMed ID: 37590102
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. JSNMF enables effective and accurate integrative analysis of single-cell multiomics data.
Ma Y; Sun Z; Zeng P; Zhang W; Lin Z
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35380624
[TBL] [Abstract][Full Text] [Related]
4. scMCs: a framework for single-cell multi-omics data integration and multiple clusterings.
Ren L; Wang J; Li Z; Li Q; Yu G
Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 36929930
[TBL] [Abstract][Full Text] [Related]
5. coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data.
Zeng P; Lin Z
PLoS Comput Biol; 2021 Jun; 17(6):e1009064. PubMed ID: 34077420
[TBL] [Abstract][Full Text] [Related]
6. Multi-omics data fusion using adaptive GTO guided Non-negative matrix factorization for cancer subtype discovery.
Bansal B; Sahoo A
Comput Methods Programs Biomed; 2023 Jan; 228():107246. PubMed ID: 36434961
[TBL] [Abstract][Full Text] [Related]
7. scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics Data.
Zhan Y; Liu J; Ou-Yang L
IEEE J Biomed Health Inform; 2023 Dec; 27(12):6121-6132. PubMed ID: 37725723
[TBL] [Abstract][Full Text] [Related]
8. Convex Multi-View Clustering Via Robust Low Rank Approximation With Application to Multi-Omic Data.
Shetta O; Niranjan M; Dasmahapatra S
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3340-3352. PubMed ID: 34705655
[TBL] [Abstract][Full Text] [Related]
9. Clustering single-cell multi-omics data with MoClust.
Yuan M; Chen L; Deng M
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36383167
[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. Characterization of cancer subtypes associated with clinical outcomes by multi-omics integrative clustering.
Crippa V; Malighetti F; Villa M; Graudenzi A; Piazza R; Mologni L; Ramazzotti D
Comput Biol Med; 2023 Aug; 162():107064. PubMed ID: 37267828
[TBL] [Abstract][Full Text] [Related]
12. Clustering of single-cell multi-omics data with a multimodal deep learning method.
Lin X; Tian T; Wei Z; Hakonarson H
Nat Commun; 2022 Dec; 13(1):7705. PubMed ID: 36513636
[TBL] [Abstract][Full Text] [Related]
13. Integrated analysis of multimodal single-cell data with structural similarity.
Cao Y; Fu L; Wu J; Peng Q; Nie Q; Zhang J; Xie X
Nucleic Acids Res; 2022 Nov; 50(21):e121. PubMed ID: 36130281
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. Holomics - a user-friendly R shiny application for multi-omics data integration and analysis.
Munk K; Ilina D; Ziemba L; Brader G; Molin EM
BMC Bioinformatics; 2024 Mar; 25(1):93. PubMed ID: 38438871
[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. 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]
20. Randomized singular value decomposition for integrative subtype analysis of 'omics data' using non-negative matrix factorization.
Ni Y; He J; Chalise P
Stat Appl Genet Mol Biol; 2023 Jan; 22(1):. PubMed ID: 37937887
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
