214 related articles for article (PubMed ID: 27478503)
1. Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer.
Okimoto G; Zeinalzadeh A; Wenska T; Loomis M; Nation JB; Fabre T; Tiirikainen M; Hernandez B; Chan O; Wong L; Kwee S
BioData Min; 2016; 9():24. PubMed ID: 27478503
[TBL] [Abstract][Full Text] [Related]
2. Biclustering via sparse singular value decomposition.
Lee M; Shen H; Huang JZ; Marron JS
Biometrics; 2010 Dec; 66(4):1087-95. PubMed ID: 20163403
[TBL] [Abstract][Full Text] [Related]
3. Subspace aware recovery of low rank and jointly sparse signals.
Biswas S; Dasgupta S; Mudumbai R; Jacob M
IEEE Trans Comput Imaging; 2017 Mar; 3(1):22-35. PubMed ID: 28630889
[TBL] [Abstract][Full Text] [Related]
4. Singular vectors of sums of rectangular random matrices and optimal estimation of high-rank signals: The extensive spike model.
Landau ID; Mel GC; Ganguli S
Phys Rev E; 2023 Nov; 108(5-1):054129. PubMed ID: 38115511
[TBL] [Abstract][Full Text] [Related]
5. Joint Tensor Feature Analysis For Visual Object Recognition.
Wong WK; Lai Z; Xu Y; Wen J; Ho CP
IEEE Trans Cybern; 2015 Nov; 45(11):2425-36. PubMed ID: 26470058
[TBL] [Abstract][Full Text] [Related]
6. SPARSE INTEGRATIVE CLUSTERING OF MULTIPLE OMICS DATA SETS.
Shen R; Wang S; Mo Q
Ann Appl Stat; 2013 Apr; 7(1):269-294. PubMed ID: 24587839
[TBL] [Abstract][Full Text] [Related]
7. svt: Singular Value Thresholding in MATLAB.
Li C; Zhou H
J Stat Softw; 2017; 81(2):. PubMed ID: 32523475
[TBL] [Abstract][Full Text] [Related]
8. Sequential Co-Sparse Factor Regression.
Mishra A; Dey DK; Chen K
J Comput Graph Stat; 2017; 26(4):814-825. PubMed ID: 30337797
[TBL] [Abstract][Full Text] [Related]
9. Semisupervised Regression With Optimized Rank for Matrix Data Classification.
Zhang J; Jiang J; Han Y
IEEE Trans Cybern; 2019 Sep; 49(9):3443-3456. PubMed ID: 30040667
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. SMSSVD: SubMatrix Selection Singular Value Decomposition.
Henningsson R; Fontes M
Bioinformatics; 2019 Feb; 35(3):478-486. PubMed ID: 30010791
[TBL] [Abstract][Full Text] [Related]
12. Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association.
Poythress JC; Park C; Ahn J
J Appl Stat; 2022; 49(15):3889-3907. PubMed ID: 36324486
[TBL] [Abstract][Full Text] [Related]
13. Sparse factorization of square matrices with application to neural attention modeling.
Khalitov R; Yu T; Cheng L; Yang Z
Neural Netw; 2022 Aug; 152():160-168. PubMed ID: 35525164
[TBL] [Abstract][Full Text] [Related]
14. Median Approximations for Genomes Modeled as Matrices.
Zanetti JPP; Biller P; Meidanis J
Bull Math Biol; 2016 Apr; 78(4):786-814. PubMed ID: 27072561
[TBL] [Abstract][Full Text] [Related]
15. Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis.
Peng P; Zhang Y; Ju Y; Wang K; Li G; Calhoun VD; Wang YP
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(1):479-490. PubMed ID: 32750856
[TBL] [Abstract][Full Text] [Related]
16. Joint sparse and low rank recovery algorithm for compressive hyperspectral imaging.
Gelvez T; Rueda H; Arguello H
Appl Opt; 2017 Aug; 56(24):6785-6795. PubMed ID: 29048017
[TBL] [Abstract][Full Text] [Related]
17. Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices.
Cai T; Ma Z; Wu Y
Probab Theory Relat Fields; 2015 Apr; 161(3-4):781-815. PubMed ID: 26257453
[TBL] [Abstract][Full Text] [Related]
18. Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition.
Ong F; Lustig M
IEEE J Sel Top Signal Process; 2016 Jun; 10(4):672-687. PubMed ID: 28450978
[TBL] [Abstract][Full Text] [Related]
19. A note on rank reduction in sparse multivariate regression.
Chen K; Chan KS
J Stat Theory Pract; 2016; 10(1):100-120. PubMed ID: 26997938
[TBL] [Abstract][Full Text] [Related]
20. A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.
Liu JX; Xu Y; Gao YL; Zheng CH; Wang D; Zhu Q
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(2):392-8. PubMed ID: 27045835
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
