236 related articles for article (PubMed ID: 35057729)
1. Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.
Wang J; Lu CH; Kong XZ; Dai LY; Yuan S; Zhang X
BMC Bioinformatics; 2022 Jan; 22(Suppl 12):334. PubMed ID: 35057729
[TBL] [Abstract][Full Text] [Related]
2. Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.
Wang J; Lu CH; Liu JX; Dai LY; Kong XZ
BMC Bioinformatics; 2019 Dec; 20(Suppl 22):718. PubMed ID: 31888442
[TBL] [Abstract][Full Text] [Related]
3. Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification.
Wu D; Wang D; Zhang MQ; Gu J
BMC Genomics; 2015 Dec; 16():1022. PubMed ID: 26626453
[TBL] [Abstract][Full Text] [Related]
4. Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint.
Lu GF; Yu QR; Wang Y; Tang G
Neural Netw; 2020 May; 125():214-223. PubMed ID: 32146353
[TBL] [Abstract][Full Text] [Related]
5. Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection.
Wang J; Wang LH; Liu JX; Kong XZ; Li SJ
IEEE J Biomed Health Inform; 2022 Jul; 26(7):3578-3589. PubMed ID: 35157604
[TBL] [Abstract][Full Text] [Related]
6. Laplacian regularized low-rank representation for cancer samples clustering.
Wang J; Liu JX; Kong XZ; Yuan SS; Dai LY
Comput Biol Chem; 2019 Feb; 78():504-509. PubMed ID: 30528509
[TBL] [Abstract][Full Text] [Related]
7. Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning.
Pan B; Li C; Che H
Neural Netw; 2023 Apr; 161():638-658. PubMed ID: 36827961
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Sequential multi-view subspace clustering.
Lei F; Li Q
Neural Netw; 2022 Nov; 155():475-486. PubMed ID: 36162232
[TBL] [Abstract][Full Text] [Related]
10. Multi-view clustering via multi-manifold regularized non-negative matrix factorization.
Zong L; Zhang X; Zhao L; Yu H; Zhao Q
Neural Netw; 2017 Apr; 88():74-89. PubMed ID: 28214692
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Multi-View Spectral Clustering Based on Multi-Smooth Representation Fusion for Cancer Subtype Prediction.
Liu J; Ge S; Cheng Y; Wang X
Front Genet; 2021; 12():718915. PubMed ID: 34552619
[TBL] [Abstract][Full Text] [Related]
13. Enhanced tensor low-rank representation learning for multi-view clustering.
Xie D; Gao Q; Yang M
Neural Netw; 2023 Apr; 161():93-104. PubMed ID: 36738492
[TBL] [Abstract][Full Text] [Related]
14. Multi-Manifold Optimization for Multi-View Subspace Clustering.
Khan A; Maji P
IEEE Trans Neural Netw Learn Syst; 2022 Aug; 33(8):3895-3907. PubMed ID: 33606638
[TBL] [Abstract][Full Text] [Related]
15. Robust multi-view subspace clustering based on consensus representation and orthogonal diversity.
Zhao N; Bu J
Neural Netw; 2022 Jun; 150():102-111. PubMed ID: 35306462
[TBL] [Abstract][Full Text] [Related]
16. Low Rank Subspace Clustering via Discrete Constraint and Hypergraph Regularization for Tumor Molecular Pattern Discovery.
Liu J; Cheng Y; Wang X; Cui X; Kong Y; Du J
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1500-1512. PubMed ID: 29993749
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints.
Zhang NN; Liu JX; Zheng CH; Wang J
IEEE J Biomed Health Inform; 2022 Jul; 26(7):3556-3566. PubMed ID: 35120014
[TBL] [Abstract][Full Text] [Related]
19. Multi-view subspace clustering via adaptive graph learning and late fusion alignment.
Tang C; Sun K; Tang C; Zheng X; Liu X; Huang JJ; Zhang W
Neural Netw; 2023 Aug; 165():333-343. PubMed ID: 37327580
[TBL] [Abstract][Full Text] [Related]
20. Clustering of cancer data based on Stiefel manifold for multiple views.
Tian J; Zhao J; Zheng C
BMC Bioinformatics; 2021 May; 22(1):268. PubMed ID: 34034643
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]