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    Results: 1 to 20 of 123

    2.

    A weighted average difference method for detecting differentially expressed genes from microarray data.

    Kadota K, Nakai Y, Shimizu K.

    Algorithms Mol Biol. 2008 Jun 26;3:8.PMID: 18578891 [PubMed]Related articlesFree article

    3.

    A unified framework for finding differentially expressed genes from microarray experiments.

    Shaik JS, Yeasin M.

    BMC Bioinformatics. 2007 Sep 18;8:347.PMID: 17877806 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies.

    Shi L, Jones WD, Jensen RV, Harris SC, Perkins RG, Goodsaid FM, Guo L, Croner LJ, Boysen C, Fang H, Qian F, Amur S, Bao W, Barbacioru CC, Bertholet V, Cao XM, Chu TM, Collins PJ, Fan XH, Frueh FW, Fuscoe JC, Guo X, Han J, Herman D, Hong H, Kawasaki ES, Li QZ, Luo Y, Ma Y, Mei N, Peterson RL, Puri RK, Shippy R, Su Z, Sun YA, Sun H, Thorn B, Turpaz Y, Wang C, Wang SJ, Warrington JA, Willey JC, Wu J, Xie Q, Zhang L, Zhang L, Zhong S, Wolfinger RD, Tong W.

    BMC Bioinformatics. 2008 Aug 12;9 Suppl 9:S10.PMID: 18793455 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation.

    Fan X, Shi L, Fang H, Harris S, Perkins R, Tong W.

    BMC Proc. 2009 Mar 10;3 Suppl 2:S4.PMID: 19278560 [PubMed]Related articlesFree article

    6.

    Probability fold change: a robust computational approach for identifying differentially expressed gene lists.

    Deng X, Xu J, Hui J, Wang C.

    Comput Methods Programs Biomed. 2009 Feb;93(2):124-39. Epub 2008 Oct 7.PMID: 18842321 [PubMed - indexed for MEDLINE]Related articles

    7.

    Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.

    Jeffery IB, Higgins DG, Culhane AC.

    BMC Bioinformatics. 2006 Jul 26;7:359.PMID: 16872483 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data.

    Chen JJ, Hsueh HM, Delongchamp RR, Lin CJ, Tsai CA.

    BMC Bioinformatics. 2007 Oct 25;8:412.PMID: 17961233 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Methods for evaluating gene expression from Affymetrix microarray datasets.

    Jiang N, Leach LJ, Hu X, Potokina E, Jia T, Druka A, Waugh R, Kearsey MJ, Luo ZW.

    BMC Bioinformatics. 2008 Jun 17;9:284.PMID: 18559105 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    A new summarization method for Affymetrix probe level data.

    Hochreiter S, Clevert DA, Obermayer K.

    Bioinformatics. 2006 Apr 15;22(8):943-9. Epub 2006 Feb 10.PMID: 16473874 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    A Distribution-Free Convolution Model for background correction of oligonucleotide microarray data.

    Chen Z, McGee M, Liu Q, Kong M, Deng Y, Scheuermann RH.

    BMC Genomics. 2009 Jul 7;10 Suppl 1:S19.PMID: 19594878 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    Reproducibility-optimized test statistic for ranking genes in microarray studies.

    Elo LL, Filén S, Lahesmaa R, Aittokallio T.

    IEEE/ACM Trans Comput Biol Bioinform. 2008 Jul-Sep;5(3):423-31.PMID: 18670045 [PubMed - indexed for MEDLINE]Related articles

    14.

    A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments.

    Hong F, Breitling R.

    Bioinformatics. 2008 Feb 1;24(3):374-82. Epub 2008 Jan 18.PMID: 18204063 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    A comparison of statistical tests for detecting differential expression using Affymetrix oligonucleotide microarrays.

    Vardhanabhuti S, Blakemore SJ, Clark SM, Ghosh S, Stephens RJ, Rajagopalan D.

    OMICS. 2006 Winter;10(4):555-66.PMID: 17233564 [PubMed - indexed for MEDLINE]Related articles

    16.

    Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements.

    Mieczkowski J, Tyburczy ME, Dabrowski M, Pokarowski P.

    BMC Bioinformatics. 2010 Feb 24;11(1):104. [Epub ahead of print]PMID: 20181266 [PubMed - as supplied by publisher]Related articlesFree article

    17.

    Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples.

    Gyorffy B, Molnar B, Lage H, Szallasi Z, Eklund AC.

    PLoS One. 2009 May 21;4(5):e5645.PMID: 19461970 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Finding differentially expressed genes in two-channel DNA microarray datasets: how to increase reliability of data preprocessing.

    Rotter A, Hren M, Baebler S, Blejec A, Gruden K.

    OMICS. 2008 Sep;12(3):171-82.PMID: 18771401 [PubMed - indexed for MEDLINE]Related articles

    20.

    Empirical Bayes models for multiple probe type microarrays at the probe level.

    Astrand M, Mostad P, Rudemo M.

    BMC Bioinformatics. 2008 Mar 20;9:156.PMID: 18366694 [PubMed - indexed for MEDLINE]Related articlesFree article

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