My NCBI | Sign In
RSS Settings
  • Search:

Display Settings:

Format
Items per page
Sort by

Send to:

Choose Destination

    Results: 1 to 20 of 390

    1.

    Empirical array quality weights in the analysis of microarray data.

    Ritchie ME, Diyagama D, Neilson J, van Laar R, Dobrovic A, Holloway A, Smyth GK.

    BMC Bioinformatics. 2006 May 19;7:261.PMID: 16712727 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Use of within-array replicate spots for assessing differential expression in microarray experiments.

    Smyth GK, Michaud J, Scott HS.

    Bioinformatics. 2005 May 1;21(9):2067-75. Epub 2005 Jan 18.PMID: 15657102 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    limmaGUI: a graphical user interface for linear modeling of microarray data.

    Wettenhall JM, Smyth GK.

    Bioinformatics. 2004 Dec 12;20(18):3705-6. Epub 2004 Aug 5.PMID: 15297296 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison.

    Sioson AA, Mane SP, Li P, Sha W, Heath LS, Bohnert HJ, Grene R.

    BMC Bioinformatics. 2006 Apr 20;7:215.PMID: 16626497 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Replication, variation and normalisation in microarray experiments.

    Altman N.

    Appl Bioinformatics. 2005;4(1):33-44.PMID: 16000011 [PubMed - indexed for MEDLINE]Related articles

    6.

    Tests for differential gene expression using weights in oligonucleotide microarray experiments.

    Hu P, Beyene J, Greenwood CM.

    BMC Genomics. 2006 Feb 22;7:33.PMID: 16504060 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    BAMarraytrade mark: Java software for Bayesian analysis of variance for microarray data.

    Ishwaran H, Rao JS, Kogalur UB.

    BMC Bioinformatics. 2006 Feb 8;7:59.PMID: 16466568 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different results.

    Millenaar FF, Okyere J, May ST, van Zanten M, Voesenek LA, Peeters AJ.

    BMC Bioinformatics. 2006 Mar 15;7:137.PMID: 16539732 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Effects of filtering by Present call on analysis of microarray experiments.

    McClintick JN, Edenberg HJ.

    BMC Bioinformatics. 2006 Jan 31;7:49.PMID: 16448562 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Analysis of variance components in gene expression data.

    Chen JJ, Delongchamp RR, Tsai CA, Hsueh HM, Sistare F, Thompson KL, Desai VG, Fuscoe JC.

    Bioinformatics. 2004 Jun 12;20(9):1436-46. Epub 2004 Feb 12.PMID: 14962916 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    WebArray: an online platform for microarray data analysis.

    Xia X, McClelland M, Wang Y.

    BMC Bioinformatics. 2005 Dec 21;6:306.PMID: 16371165 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments.

    Zhao H, Chan KL, Cheng LM, Yan H.

    BMC Bioinformatics. 2008;9 Suppl 1:S9.PMID: 18315862 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments.

    Sartor MA, Tomlinson CR, Wesselkamper SC, Sivaganesan S, Leikauf GD, Medvedovic M.

    BMC Bioinformatics. 2006 Dec 19;7:538.PMID: 17177995 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Practical FDR-based sample size calculations in microarray experiments.

    Hu J, Zou F, Wright FA.

    Bioinformatics. 2005 Aug 1;21(15):3264-72. Epub 2005 Jun 2.PMID: 15932903 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method.

    Bengtsson H, Hössjer O.

    BMC Bioinformatics. 2006 Mar 1;7:100.PMID: 16509971 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    A statistical framework for the design of microarray experiments and effective detection of differential gene expression.

    Zhang SD, Gant TW.

    Bioinformatics. 2004 Nov 1;20(16):2821-8. Epub 2004 Jun 4.PMID: 15180939 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Analysis of oligonucleotide array experiments with repeated measures using mixed models.

    Li H, Wood CL, Getchell TV, Getchell ML, Stromberg AJ.

    BMC Bioinformatics. 2004 Dec 30;5:209.PMID: 15626348 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Variance stabilization applied to microarray data calibration and to the quantification of differential expression.

    Huber W, von Heydebreck A, Sültmann H, Poustka A, Vingron M.

    Bioinformatics. 2002;18 Suppl 1:S96-104.PMID: 12169536 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    A robust two-way semi-linear model for normalization of cDNA microarray data.

    Wang D, Huang J, Xie H, Manzella L, Soares MB.

    BMC Bioinformatics. 2005 Jan 21;6:14.PMID: 15663789 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    A variance-stabilizing transformation for gene-expression microarray data.

    Durbin BP, Hardin JS, Hawkins DM, Rocke DM.

    Bioinformatics. 2002;18 Suppl 1:S105-10.PMID: 12169537 [PubMed - indexed for MEDLINE]Related articlesFree article

    Display Settings:

    Format
    Items per page
    Sort by

    Send to:

    Choose Destination

    Supplemental Content

    Filter your results:

    Find related data

    Recent activity