BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

109 related articles for article (PubMed ID: 17888037)

  • 1. A flexible and powerful bayesian hierarchical model for ChIP-Chip experiments.
    Gottardo R; Li W; Johnson WE; Liu XS
    Biometrics; 2008 Jun; 64(2):468-78. PubMed ID: 17888037
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A transdimensional Bayesian model for pattern recognition in DNA sequences.
    Li SM; Wakefield J; Self S
    Biostatistics; 2008 Oct; 9(4):668-85. PubMed ID: 18349034
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian modeling of ChIP-chip data through a high-order Ising model.
    Mo Q; Liang F
    Biometrics; 2010 Dec; 66(4):1284-94. PubMed ID: 20128774
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PICS: probabilistic inference for ChIP-seq.
    Zhang X; Robertson G; Krzywinski M; Ning K; Droit A; Jones S; Gottardo R
    Biometrics; 2011 Mar; 67(1):151-63. PubMed ID: 20528864
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A hidden Ising model for ChIP-chip data analysis.
    Mo Q; Liang F
    Bioinformatics; 2010 Mar; 26(6):777-83. PubMed ID: 20110277
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian modeling of ChIP-chip data using latent variables.
    Wu M; Liang F; Tian Y
    BMC Bioinformatics; 2009 Oct; 10():352. PubMed ID: 19857265
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Parameter estimation for robust HMM analysis of ChIP-chip data.
    Humburg P; Bulger D; Stone G
    BMC Bioinformatics; 2008 Aug; 9():343. PubMed ID: 18706106
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Generalized hierarchical markov models for the discovery of length-constrained sequence features from genome tiling arrays.
    Gupta M
    Biometrics; 2007 Sep; 63(3):797-805. PubMed ID: 17825011
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles.
    Chen X; Jung JG; Shajahan-Haq AN; Clarke R; Shih IeM; Wang Y; Magnani L; Wang TL; Xuan J
    Nucleic Acids Res; 2016 Apr; 44(7):e65. PubMed ID: 26704972
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian robust inference for differential gene expression in microarrays with multiple samples.
    Gottardo R; Raftery AE; Yeung KY; Bumgarner RE
    Biometrics; 2006 Mar; 62(1):10-8. PubMed ID: 16542223
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A physical model for tiling array analysis.
    Chung HR; Kostka D; Vingron M
    Bioinformatics; 2007 Jul; 23(13):i80-6. PubMed ID: 17646349
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A fully Bayesian hidden Ising model for ChIP-seq data analysis.
    Mo Q
    Biostatistics; 2012 Jan; 13(1):113-28. PubMed ID: 21914728
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: systematically incorporating validated biological knowledge.
    Du J; Rozowsky JS; Korbel JO; Zhang ZD; Royce TE; Schultz MH; Snyder M; Gerstein M
    Bioinformatics; 2006 Dec; 22(24):3016-24. PubMed ID: 17038339
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data.
    Liu X; Jessen WJ; Sivaganesan S; Aronow BJ; Medvedovic M
    BMC Bioinformatics; 2007 Aug; 8():283. PubMed ID: 17683565
    [TBL] [Abstract][Full Text] [Related]  

  • 15. BayesPeak: Bayesian analysis of ChIP-seq data.
    Spyrou C; Stark R; Lynch AG; Tavaré S
    BMC Bioinformatics; 2009 Sep; 10():299. PubMed ID: 19772557
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ChIPmix: mixture model of regressions for two-color ChIP-chip analysis.
    Martin-Magniette ML; Mary-Huard T; Bérard C; Robin S
    Bioinformatics; 2008 Aug; 24(16):i181-6. PubMed ID: 18689822
    [TBL] [Abstract][Full Text] [Related]  

  • 17. TileMap: create chromosomal map of tiling array hybridizations.
    Ji H; Wong WH
    Bioinformatics; 2005 Sep; 21(18):3629-36. PubMed ID: 16046496
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Bayesian hidden Markov model for motif discovery through joint modeling of genomic sequence and ChIP-chip data.
    Gelfond JA; Gupta M; Ibrahim JG
    Biometrics; 2009 Dec; 65(4):1087-95. PubMed ID: 19210737
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrative analyses for omics data: a Bayesian mixture model to assess the concordance of ChIP-chip and ChIP-seq measurements.
    Schäfer M; Lkhagvasuren O; Klein HU; Elling C; Wüstefeld T; Müller-Tidow C; Zender L; Koschmieder S; Dugas M; Ickstadt K
    J Toxicol Environ Health A; 2012; 75(8-10):461-70. PubMed ID: 22686305
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved ChIP-chip analysis by a mixture model approach.
    Sun W; Buck MJ; Patel M; Davis IJ
    BMC Bioinformatics; 2009 Jun; 10():173. PubMed ID: 19500407
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.