BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 23151154)

  • 1. Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects.
    Wang K; Ng SK; McLachlan GJ
    BMC Bioinformatics; 2012 Nov; 13():300. PubMed ID: 23151154
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Beyond synexpression relationships: local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions.
    Qian J; Dolled-Filhart M; Lin J; Yu H; Gerstein M
    J Mol Biol; 2001 Dec; 314(5):1053-66. PubMed ID: 11743722
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A method to identify differential expression profiles of time-course gene data with Fourier transformation.
    Kim J; Ogden RT; Kim H
    BMC Bioinformatics; 2013 Oct; 14():310. PubMed ID: 24134721
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Visualization and evaluation of clusters for exploratory analysis of gene expression data.
    Kim JH; Kohane IS; Ohno-Machado L
    J Biomed Inform; 2002 Feb; 35(1):25-36. PubMed ID: 12415724
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Finding gene clusters for a replicated time course study.
    Qin LX; Breeden L; Self SG
    BMC Res Notes; 2014 Jan; 7():60. PubMed ID: 24460656
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments.
    Liu T; Lin N; Shi N; Zhang B
    BMC Bioinformatics; 2009 May; 10():146. PubMed ID: 19445669
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters.
    Lukashin AV; Fuchs R
    Bioinformatics; 2001 May; 17(5):405-14. PubMed ID: 11331234
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Model-based clustering and data transformations for gene expression data.
    Yeung KY; Fraley C; Murua A; Raftery AE; Ruzzo WL
    Bioinformatics; 2001 Oct; 17(10):977-87. PubMed ID: 11673243
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian model-based clustering of temporal gene expression using autoregressive panel data approach.
    Nascimento M; Sáfadi T; Fonseca e Silva F; Nascimento AC
    Bioinformatics; 2012 Aug; 28(15):2004-7. PubMed ID: 22668790
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The clustering of regression models method with applications in gene expression data.
    Qin LX; Self SG
    Biometrics; 2006 Jun; 62(2):526-33. PubMed ID: 16918917
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clustering.
    McLachlan GJ; Bean RW; Ng SK
    Methods Mol Biol; 2017; 1526():345-362. PubMed ID: 27896751
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of independent component analysis to microarrays.
    Lee SI; Batzoglou S
    Genome Biol; 2003; 4(11):R76. PubMed ID: 14611662
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Partial mixture model for tight clustering of gene expression time-course.
    Yuan Y; Li CT; Wilson R
    BMC Bioinformatics; 2008 Jun; 9():287. PubMed ID: 18564420
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Finding explained groups of time-course gene expression profiles with predictive clustering trees.
    Slavkov I; Gjorgjioski V; Struyf J; Dzeroski S
    Mol Biosyst; 2010 Apr; 6(4):729-40. PubMed ID: 20237651
    [TBL] [Abstract][Full Text] [Related]  

  • 17. UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets.
    Abu-Jamous B; Fa R; Roberts DJ; Nandi AK
    BMC Bioinformatics; 2015 Jun; 16():184. PubMed ID: 26040489
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clustering of time-course gene expression data using a mixed-effects model with B-splines.
    Luan Y; Li H
    Bioinformatics; 2003 Mar; 19(4):474-82. PubMed ID: 12611802
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Weighted-LASSO for structured network inference from time course data.
    Charbonnier C; Chiquet J; Ambroise C
    Stat Appl Genet Mol Biol; 2010; 9():Article 15. PubMed ID: 20196750
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detecting biological associations between genes based on the theory of phase synchronization.
    Kim CS; Riikonen P; Salakoski T
    Biosystems; 2008 May; 92(2):99-113. PubMed ID: 18289772
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.