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Volumn 23, Issue 10, 2007, Pages 1243-1250

A mixture model approach to the tests of concordance and discordance between two large-scale experiments with two-sample groups

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BOOTSTRAPPING; CONTROLLED STUDY; CORRELATION COEFFICIENT; DATA ANALYSIS; DOWN REGULATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETIC ALGORITHM; HISTOGRAM; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; NORMAL DISTRIBUTION; OVARY CANCER; PARAMETRIC TEST; PRIORITY JOURNAL; PROBABILITY; PROSTATE CANCER; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SIMULATION; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; UPREGULATION;

EID: 34447345702     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btm103     Document Type: Article
Times cited : (19)

References (21)
  • 1
    • 0036645099 scopus 로고    scopus 로고
    • Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men
    • Adam,B-L. et al. (2002) Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. Cancer Res., 62, 3609-3614.
    • (2002) Cancer Res , vol.62 , pp. 3609-3614
    • Adam, B.-L.1
  • 2
    • 1842559788 scopus 로고    scopus 로고
    • Reproducibility of SELDI-TOF protein patterns in serum: Comparing datasets from different experiments
    • Baggerly,K.A. et al. (2004) Reproducibility of SELDI-TOF protein patterns in serum: Comparing datasets from different experiments. Bioinformatics, 20, 777-785.
    • (2004) Bioinformatics , vol.20 , pp. 777-785
    • Baggerly, K.A.1
  • 3
    • 26444563353 scopus 로고    scopus 로고
    • List of lists-annotated (LOLA): A database for annotation and comparison of published microarray gene lists
    • Cahan,P. et al. (2005) List of lists-annotated (LOLA): A database for annotation and comparison of published microarray gene lists. Gene, 360, 78-82.
    • (2005) Gene , vol.360 , pp. 78-82
    • Cahan, P.1
  • 4
    • 4944232237 scopus 로고    scopus 로고
    • Combining multiple microarray studies and modeling interstudy variation
    • Choi,J.K. et al. (2003) Combining multiple microarray studies and modeling interstudy variation. Bioinformatics, 19 (Suppl. 1) i84-i90.
    • (2003) Bioinformatics , vol.19 , Issue.SUPPL. 1
    • Choi, J.K.1
  • 5
    • 0043203327 scopus 로고    scopus 로고
    • Multiple hypothesis testing in microarray experiments
    • Dudoit,S. et al. (2003) Multiple hypothesis testing in microarray experiments. Stat. Sci., 18, 71-103.
    • (2003) Stat. Sci , vol.18 , pp. 71-103
    • Dudoit, S.1
  • 6
    • 33645825183 scopus 로고    scopus 로고
    • Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
    • Ein-Dor,L. et al. (2006) Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc. Natl Acad. Sci. USA, 103, 5923-5928.
    • (2006) Proc. Natl Acad. Sci. USA , vol.103 , pp. 5923-5928
    • Ein-Dor, L.1
  • 7
    • 0036188158 scopus 로고    scopus 로고
    • Mixture modelling of gene expression data from microarray experiments
    • Ghosh,D. and Chinnaiyan,A.M. (2002) Mixture modelling of gene expression data from microarray experiments. Bioinformatics, 18, 275-286.
    • (2002) Bioinformatics , vol.18 , pp. 275-286
    • Ghosh, D.1    Chinnaiyan, A.M.2
  • 8
    • 3042562283 scopus 로고    scopus 로고
    • Molecular causes of the aberrant choline phospholipid metabolism in breast cancer
    • Glunde,K. et al. (2004) Molecular causes of the aberrant choline phospholipid metabolism in breast cancer. Cancer Res., 64, 4270-4276.
    • (2004) Cancer Res , vol.64 , pp. 4270-4276
    • Glunde, K.1
  • 9
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • Golub,T.R. et al. (1999) Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 286, 531-537.
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1
  • 10
    • 0023570352 scopus 로고
    • On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture
    • McLachlan,G.J. (1987) On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture. Appl. Stat., 36, 318-324.
    • (1987) Appl. Stat , vol.36 , pp. 318-324
    • McLachlan, G.J.1
  • 12
    • 33745606461 scopus 로고    scopus 로고
    • A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays
    • McLachlan,G.J. et al. (2006) A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays. Bioinformatics, 22, 1608-1615.
    • (2006) Bioinformatics , vol.22 , pp. 1608-1615
    • McLachlan, G.J.1
  • 13
    • 33847162014 scopus 로고    scopus 로고
    • A methodology for global validation of microarray experiments
    • Miron,M. et al. (2006) A methodology for global validation of microarray experiments. BMC Bioinformatics, 7, 333.
    • (2006) BMC Bioinformatics , vol.7 , pp. 333
    • Miron, M.1
  • 14
    • 33747890494 scopus 로고    scopus 로고
    • A Mixture model with random-effects components for clustering correlated gene-expression profiles
    • Ng,S.K. et al. (2006) A Mixture model with random-effects components for clustering correlated gene-expression profiles. Bioinformatics, 22, 1745-1752.
    • (2006) Bioinformatics , vol.22 , pp. 1745-1752
    • Ng, S.K.1
  • 15
    • 0036372266 scopus 로고    scopus 로고
    • Model-based cluster analysis of microarray gene-expression data
    • research
    • Pan,W. et al. (2002) Model-based cluster analysis of microarray gene-expression data. Genome Biol., 3, research 0009.1-0009.8.
    • (2002) Genome Biol , vol.3
    • Pan, W.1
  • 16
    • 0037116832 scopus 로고    scopus 로고
    • Use of proteomic patterns in serum to identify ovarian cancer
    • Petricoin,E.F. III et al. (2002) Use of proteomic patterns in serum to identify ovarian cancer. Lancet, 359, 572-577.
    • (2002) Lancet , vol.359 , pp. 572-577
    • Petricoin III, E.F.1
  • 17
    • 33846030136 scopus 로고    scopus 로고
    • Assessing the utility of SELDI-TOF and model averaging for serum proteomic biomarker discovery
    • Purohit,S. et al. (2006) Assessing the utility of SELDI-TOF and model averaging for serum proteomic biomarker discovery. Proteomics 6, 6405-6415.
    • (2006) Proteomics , vol.6 , pp. 6405-6415
    • Purohit, S.1
  • 18
    • 27744595524 scopus 로고    scopus 로고
    • Analysis of mass spectral serum profiles for biomarker selection
    • Ressom,H.W. et al. (2005) Analysis of mass spectral serum profiles for biomarker selection. Bioinformatics, 21, 4039-4045.
    • (2005) Bioinformatics , vol.21 , pp. 4039-4045
    • Ressom, H.W.1
  • 19
    • 33846038402 scopus 로고    scopus 로고
    • Proteomic analysis reveals successive aberrations in protein expression from healthy mucosa to invasive head and neck cancer
    • Roesch-Ely,M. et al. (2007) Proteomic analysis reveals successive aberrations in protein expression from healthy mucosa to invasive head and neck cancer. Oncogene, 26, 54-64.
    • (2007) Oncogene , vol.26 , pp. 54-64
    • Roesch-Ely, M.1
  • 20
    • 33745085581 scopus 로고    scopus 로고
    • Identification of serum biomarkers for colon cancer by proteomic analysis
    • Ward,D.G. et al. (2006) Identification of serum biomarkers for colon cancer by proteomic analysis. Br. J. Cancer, 94, 1898-1905.
    • (2006) Br. J. Cancer , vol.94 , pp. 1898-1905
    • Ward, D.G.1
  • 21
    • 27544492493 scopus 로고    scopus 로고
    • Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data
    • Xu,L. et al. (2005) Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data. Bioinformatics, 21, 3905-3911.
    • (2005) Bioinformatics , vol.21 , pp. 3905-3911
    • Xu, L.1


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