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 *

128 related articles for article (PubMed ID: 22462105)

  • 1. Biclustering of gene expression data by an extension of mixtures of factor analyzers.
    Martella F; Alfò M; Vichi M
    Int J Biostat; 2008; 4(1):Article 3. PubMed ID: 22462105
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mixtures of common t-factor analyzers for clustering high-dimensional microarray data.
    Baek J; McLachlan GJ
    Bioinformatics; 2011 May; 27(9):1269-76. PubMed ID: 21372081
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discovering biclusters in gene expression data based on high-dimensional linear geometries.
    Gan X; Liew AW; Yan H
    BMC Bioinformatics; 2008 Apr; 9():209. PubMed ID: 18433477
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mixture modelling of gene expression data from microarray experiments.
    Ghosh D; Chinnaiyan AM
    Bioinformatics; 2002 Feb; 18(2):275-86. PubMed ID: 11847075
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A mixture model with random-effects components for clustering correlated gene-expression profiles.
    Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
    Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fast ML estimation for the mixture of factor analyzers via an ECM algorithm.
    Zhao JH; Yu PL
    IEEE Trans Neural Netw; 2008 Nov; 19(11):1956-61. PubMed ID: 19000964
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Two-way learning with one-way supervision for gene expression data.
    Wong MH; Mutch DM; McNicholas PD
    BMC Bioinformatics; 2017 Mar; 18(1):150. PubMed ID: 28257645
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Possibilistic approach for biclustering microarray data.
    Cano C; Adarve L; López J; Blanco A
    Comput Biol Med; 2007 Oct; 37(10):1426-36. PubMed ID: 17346690
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Biclustering algorithms for biological data analysis: a survey.
    Madeira SC; Oliveira AL
    IEEE/ACM Trans Comput Biol Bioinform; 2004; 1(1):24-45. PubMed ID: 17048406
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Clustering expressed genes on the basis of their association with a quantitative phenotype.
    Jia Z; Xu S
    Genet Res; 2005 Dec; 86(3):193-207. PubMed ID: 16454859
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A mixture model-based approach to the clustering of microarray expression data.
    McLachlan GJ; Bean RW; Peel D
    Bioinformatics; 2002 Mar; 18(3):413-22. PubMed ID: 11934740
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel coherence measure for discovering scaling biclusters from gene expression data.
    Mukhopadhyay A; Maulik U; Bandyopadhyay S
    J Bioinform Comput Biol; 2009 Oct; 7(5):853-68. PubMed ID: 19785049
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of bicluster regions in a binary matrix and its applications.
    Chen HC; Zou W; Tien YJ; Chen JJ
    PLoS One; 2013; 8(8):e71680. PubMed ID: 23940779
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Convex biclustering.
    Chi EC; Allen GI; Baraniuk RG
    Biometrics; 2017 Mar; 73(1):10-19. PubMed ID: 27163413
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Model-based clustering of microarray expression data via latent Gaussian mixture models.
    McNicholas PD; Murphy TB
    Bioinformatics; 2010 Nov; 26(21):2705-12. PubMed ID: 20802251
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset.
    Joung JG; Kim SJ; Shin SY; Zhang BT
    BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S12. PubMed ID: 23282075
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Model-based approaches to synthesize microarray data: a unifying review using mixture of SEMs.
    Martella F; Vermunt JK
    Stat Methods Med Res; 2013 Dec; 22(6):567-82. PubMed ID: 21948997
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Recent patents on biclustering algorithms for gene expression data analysis.
    Liew AW; Law NF; Yan H
    Recent Pat DNA Gene Seq; 2011 Aug; 5(2):117-25. PubMed ID: 21529337
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CIT: identification of differentially expressed clusters of genes from microarray data.
    Rhodes DR; Miller JC; Haab BB; Furge KA
    Bioinformatics; 2002 Jan; 18(1):205-6. PubMed ID: 11836234
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Decomposing gene expression into cellular processes.
    Segal E; Battle A; Koller D
    Pac Symp Biocomput; 2003; ():89-100. PubMed ID: 12603020
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.