118 related articles for article (PubMed ID: 34546925)
1. SOJNMF: Identifying Multidimensional Molecular Regulatory Modules by Sparse Orthogonality-Regularized Joint Non-Negative Matrix Factorization Algorithm.
Wang Y; Guan T; Zhou G; Zhao H; Gao J
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3695-3703. PubMed ID: 34546925
[TBL] [Abstract][Full Text] [Related]
2. Discovery of microRNAs and Transcription Factors Co-Regulatory Modules by Integrating Multiple Types of Genomic Data.
Luo J; Xiang G; Pan C
IEEE Trans Nanobioscience; 2017 Jan; 16(1):51-59. PubMed ID: 28092569
[TBL] [Abstract][Full Text] [Related]
3. A network-based matrix factorization framework for ceRNA co-modules recognition of cancer genomic data.
Wang Y; Zhou G; Guan T; Wang Y; Xuan C; Ding T; Gao J
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35514181
[TBL] [Abstract][Full Text] [Related]
4. A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data.
Yang Z; Michailidis G
Bioinformatics; 2016 Jan; 32(1):1-8. PubMed ID: 26377073
[TBL] [Abstract][Full Text] [Related]
5. A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.
Zhang S; Li Q; Liu J; Zhou XJ
Bioinformatics; 2011 Jul; 27(13):i401-9. PubMed ID: 21685098
[TBL] [Abstract][Full Text] [Related]
6. SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks.
Loers JU; Vermeirssen V
BMC Bioinformatics; 2022 Sep; 23(1):363. PubMed ID: 36064320
[TBL] [Abstract][Full Text] [Related]
7. Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks.
Wang P; Gao L; Hu Y; Li F
BMC Bioinformatics; 2018 Oct; 19(1):394. PubMed ID: 30373534
[TBL] [Abstract][Full Text] [Related]
8. Identification of key regulators of pancreatic cancer progression through multidimensional systems-level analysis.
Rajamani D; Bhasin MK
Genome Med; 2016 May; 8(1):38. PubMed ID: 27137215
[TBL] [Abstract][Full Text] [Related]
9. Network-based cancer genomic data integration for pattern discovery.
Zhu F; Li J; Liu J; Min W
BMC Genom Data; 2021 Dec; 22(Suppl 1):54. PubMed ID: 34886811
[TBL] [Abstract][Full Text] [Related]
10. Identifying Functional Modules in Co-Regulatory Networks Through Overlapping Spectral Clustering.
Luo J; Yin Y; Pan C; Xiang G; Tu NH; Jiawei Luo ; Ying Yin ; Chu Pan ; Gen Xiang ; Nguyen Hoang Tu ; Pan C; Xiang G; Yin Y; Luo J; Tu NH
IEEE Trans Nanobioscience; 2018 Apr; 17(2):134-144. PubMed ID: 29870337
[TBL] [Abstract][Full Text] [Related]
11. Integrating Multi-omics Data for Alzheimer's Disease to Explore Its Biomarkers Via the Hypergraph-Regularized Joint Deep Semi-Non-Negative Matrix Factorization Algorithm.
Tu K; Zhou W; Kong S
J Mol Neurosci; 2024 Apr; 74(2):43. PubMed ID: 38619646
[TBL] [Abstract][Full Text] [Related]
12. An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition.
Ma X; Sun P; Gong M
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(1):305-316. PubMed ID: 32750874
[TBL] [Abstract][Full Text] [Related]
13. Systematical Identification of Breast Cancer-Related Circular RNA Modules for Deciphering circRNA Functions Based on the Non-Negative Matrix Factorization Algorithm.
Wang S; Xia P; Zhang L; Yu L; Liu H; Meng Q; Liu S; Li J; Song Q; Wu J; Wang W; Yang L; Xiao Y; Xu C
Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30791568
[TBL] [Abstract][Full Text] [Related]
14. Identification of Multidimensional Regulatory Modules Through Multi-Graph Matching With Network Constraints.
Chen J; Han G; Xu A; Cai H
IEEE Trans Biomed Eng; 2020 Apr; 67(4):987-998. PubMed ID: 31295100
[TBL] [Abstract][Full Text] [Related]
15. Integration of multi-omics data to mine cancer-related gene modules.
Li P; Guo M; Sun B
J Bioinform Comput Biol; 2019 Dec; 17(6):1950038. PubMed ID: 32019413
[TBL] [Abstract][Full Text] [Related]
16. scBPGRN: Integrating single-cell multi-omics data to construct gene regulatory networks based on BP neural network.
Xuan C; Wang Y; Zhang B; Wu H; Ding T; Gao J
Comput Biol Med; 2022 Dec; 151(Pt A):106249. PubMed ID: 36335815
[TBL] [Abstract][Full Text] [Related]
17. RFCM
Paul S; Madhumita
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1729-1740. PubMed ID: 30990434
[TBL] [Abstract][Full Text] [Related]
18. An efficient framework to identify key miRNA-mRNA regulatory modules in cancer.
Mokhtaridoost M; Gönen M
Bioinformatics; 2020 Dec; 36(Suppl_2):i592-i600. PubMed ID: 33381822
[TBL] [Abstract][Full Text] [Related]
19. Regularized Multi-View Subspace Clustering for Common Modules Across Cancer Stages.
Zhang E; Ma X
Molecules; 2018 Apr; 23(5):. PubMed ID: 29701681
[TBL] [Abstract][Full Text] [Related]
20. A review on methods for predicting miRNA-mRNA regulatory modules.
Madhumita M; Paul S
J Integr Bioinform; 2022 Sep; 19(3):. PubMed ID: 35357793
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]