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Journal Abstract Search

1063 related items for PubMed ID: 20004087

  • 41.
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  • 42. A gene selection method for classifying cancer samples using 1D discrete wavelet transform.
    Jose A, Mugler D, Duan ZH.
    Int J Comput Biol Drug Des; 2009; 2(4):398-411. PubMed ID: 20090179
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  • 45. A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data.
    Teschendorff AE, Wang Y, Barbosa-Morais NL, Brenton JD, Caldas C.
    Bioinformatics; 2005 Jul 01; 21(13):3025-33. PubMed ID: 15860564
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  • 47. Functional modules with disease discrimination abilities for various cancers.
    Yao C, Zhang M, Zou J, Li H, Wang D, Zhu J, Guo Z.
    Sci China Life Sci; 2011 Feb 01; 54(2):189-93. PubMed ID: 21318490
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  • 48. A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays.
    McLachlan GJ, Bean RW, Jones LB.
    Bioinformatics; 2006 Jul 01; 22(13):1608-15. PubMed ID: 16632494
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  • 51. Genotype copy number variations using Gaussian mixture models: theory and algorithms.
    Lin CY, Lo Y, Ye KQ.
    Stat Appl Genet Mol Biol; 2012 Oct 12; 11(5):5. PubMed ID: 23079517
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  • 54. Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients.
    Johannes M, Brase JC, Fröhlich H, Gade S, Gehrmann M, Fälth M, Sültmann H, Beissbarth T.
    Bioinformatics; 2010 Sep 01; 26(17):2136-44. PubMed ID: 20591905
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  • 59. Integrated analysis of microarray results.
    Troyanskaya OG.
    Methods Mol Biol; 2007 Sep 01; 382():429-37. PubMed ID: 18220247
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  • 60. Stochastic models for inferring genetic regulation from microarray gene expression data.
    Tian T.
    Biosystems; 2010 Mar 01; 99(3):192-200. PubMed ID: 19945503
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