These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 28432308)

  • 1. Network-aided Bi-Clustering for discovering cancer subtypes.
    Yu G; Yu X; Wang J
    Sci Rep; 2017 Apr; 7(1):1046. PubMed ID: 28432308
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression.
    Liu Y; Gu Q; Hou JP; Han J; Ma J
    BMC Bioinformatics; 2014 Feb; 15():37. PubMed ID: 24491042
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clustering approaches for visual knowledge exploration in molecular interaction networks.
    Ostaszewski M; Kieffer E; Danoy G; Schneider R; Bouvry P
    BMC Bioinformatics; 2018 Aug; 19(1):308. PubMed ID: 30157777
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Network based stratification of major cancers by integrating somatic mutation and gene expression data.
    He Z; Zhang J; Yuan X; Liu Z; Liu B; Tuo S; Liu Y
    PLoS One; 2017; 12(5):e0177662. PubMed ID: 28520777
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bi-clustering of metabolic data using matrix factorization tools.
    Gu Q; Veselkov K
    Methods; 2018 Dec; 151():12-20. PubMed ID: 29438828
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma.
    Liu E; Zhang ZZ; Cheng X; Liu X; Cheng L
    BMC Med Genomics; 2020 Apr; 13(Suppl 5):50. PubMed ID: 32241274
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative clustering by nonnegative matrix factorization can reveal coherent functional groups from gene profile data.
    Brdar S; Crnojevic V; Zupan B
    IEEE J Biomed Health Inform; 2015 Mar; 19(2):698-708. PubMed ID: 24733033
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
    Khunlertgit N; Yoon BJ
    BMC Bioinformatics; 2016 Oct; 17(Suppl 13):351. PubMed ID: 27766944
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-layer Bundling as a New Approach for Determining Multi-scale Correlations Within a High-Dimensional Dataset.
    Fazli M; Bertram R; Striegel DA
    Bull Math Biol; 2024 Jul; 86(9):105. PubMed ID: 38995438
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Network inference with ensembles of bi-clustering trees.
    Pliakos K; Vens C
    BMC Bioinformatics; 2019 Oct; 20(1):525. PubMed ID: 31660848
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks.
    Wu J; Meng Q; Deng S; Huang H; Wu Y; Badii A
    PLoS One; 2017; 12(2):e0172323. PubMed ID: 28245222
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A cross-species bi-clustering approach to identifying conserved co-regulated genes.
    Sun J; Jiang Z; Tian X; Bi J
    Bioinformatics; 2016 Jun; 32(12):i137-i146. PubMed ID: 27307610
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computing the maximum similarity bi-clusters of gene expression data.
    Liu X; Wang L
    Bioinformatics; 2007 Jan; 23(1):50-6. PubMed ID: 17090578
    [TBL] [Abstract][Full Text] [Related]  

  • 15. COPD subtypes identified by network-based clustering of blood gene expression.
    Chang Y; Glass K; Liu YY; Silverman EK; Crapo JD; Tal-Singer R; Bowler R; Dy J; Cho M; Castaldi P
    Genomics; 2016 Mar; 107(2-3):51-58. PubMed ID: 26773458
    [TBL] [Abstract][Full Text] [Related]  

  • 16. mAPC-GibbsOS: an integrated approach for robust identification of gene regulatory networks.
    Shi X; Gu J; Chen X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J
    BMC Syst Biol; 2013; 7 Suppl 5(Suppl 5):S4. PubMed ID: 24564939
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Simultaneous clustering of multiple gene expression and physical interaction datasets.
    Narayanan M; Vetta A; Schadt EE; Zhu J
    PLoS Comput Biol; 2010 Apr; 6(4):e1000742. PubMed ID: 20419151
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pathway-based deep clustering for molecular subtyping of cancer.
    Mallavarapu T; Hao J; Kim Y; Oh JH; Kang M
    Methods; 2020 Feb; 173():24-31. PubMed ID: 31247294
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets.
    Li HD; Xu Y; Zhu X; Liu Q; Omenn GS; Wang J
    J Bioinform Comput Biol; 2020 Jun; 18(3):2040009. PubMed ID: 32698720
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Subspace Weighting Co-Clustering of Gene Expression Data.
    Chen X; Huang JZ; Wu Q; Yang M
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):352-364. PubMed ID: 28541221
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.