BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

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]
    of 6.