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    Results: 1 to 20 of 134

    1.

    The limit fold change model: a practical approach for selecting differentially expressed genes from microarray data.

    Mutch DM, Berger A, Mansourian R, Rytz A, Roberts MA.

    BMC Bioinformatics. 2002 Jun 21;3:17.PMID: 12095422 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Microarray data analysis: a practical approach for selecting differentially expressed genes.

    Mutch DM, Berger A, Mansourian R, Rytz A, Roberts MA.

    Genome Biol. 2001;2(12):PREPRINT0009. Epub 2001 Nov 16.PMID: 11790248 [PubMed - indexed for MEDLINE]Related articles

    3.

    The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data.

    Mansourian R, Mutch DM, Antille N, Aubert J, Fogel P, Le Goff JM, Moulin J, Petrov A, Rytz A, Voegel JJ, Roberts MA.

    Bioinformatics. 2004 Nov 1;20(16):2726-37. Epub 2004 May 14.PMID: 15145801 [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.

    Sample size for detecting differentially expressed genes in microarray experiments.

    Wei C, Li J, Bumgarner RE.

    BMC Genomics. 2004 Nov 8;5(1):87.PMID: 15533245 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays.

    Wang Y, Barbacioru C, Hyland F, Xiao W, Hunkapiller KL, Blake J, Chan F, Gonzalez C, Zhang L, Samaha RR.

    BMC Genomics. 2006 Mar 21;7:59.PMID: 16551369 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    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

    8.

    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.

    Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S.

    BMC Bioinformatics. 2005 Feb 10;6:26.PMID: 15705192 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Detecting intergene correlation changes in microarray analysis: a new approach to gene selection.

    Hu R, Qiu X, Glazko G, Klebanov L, Yakovlev A.

    BMC Bioinformatics. 2009 Jan 15;10:20.PMID: 19146700 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Evaluation of methods for oligonucleotide array data via quantitative real-time PCR.

    Qin LX, Beyer RP, Hudson FN, Linford NJ, Morris DE, Kerr KF.

    BMC Bioinformatics. 2006 Jan 17;7:23.PMID: 16417622 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Statistical modelling of transcript profiles of differentially regulated genes.

    Eastwood DC, Mead A, Sergeant MJ, Burton KS.

    BMC Mol Biol. 2008 Jul 23;9:66.PMID: 18651954 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Long versus short oligonucleotide microarrays for the study of gene expression in nonhuman primates.

    Walker SJ, Wang Y, Grant KA, Chan F, Hellmann GM.

    J Neurosci Methods. 2006 Apr 15;152(1-2):179-89. Epub 2005 Oct 25.PMID: 16253343 [PubMed - indexed for MEDLINE]Related articles

    13.

    Validation of oligonucleotide microarray data using microfluidic low-density arrays: a new statistical method to normalize real-time RT-PCR data.

    Abruzzo LV, Lee KY, Fuller A, Silverman A, Keating MJ, Medeiros LJ, Coombes KR.

    Biotechniques. 2005 May;38(5):785-92.PMID: 15945375 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Cross platform microarray analysis for robust identification of differentially expressed genes.

    Bosotti R, Locatelli G, Healy S, Scacheri E, Sartori L, Mercurio C, Calogero R, Isacchi A.

    BMC Bioinformatics. 2007 Mar 8;8 Suppl 1:S5.PMID: 17430572 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    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

    16.

    An associative analysis of gene expression array data.

    Dozmorov I, Centola M.

    Bioinformatics. 2003 Jan 22;19(2):204-11.PMID: 12538240 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes.

    Chou JW, Zhou T, Kaufmann WK, Paules RS, Bushel PR.

    BMC Bioinformatics. 2007 Nov 2;8:427.PMID: 17980031 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.

    Barrera L, Benner C, Tao YC, Winzeler E, Zhou Y.

    BMC Bioinformatics. 2004 Apr 20;5:42.PMID: 15099405 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Noise sampling method: an ANOVA approach allowing robust selection of differentially regulated genes measured by DNA microarrays.

    Draghici S, Kulaeva O, Hoff B, Petrov A, Shams S, Tainsky MA.

    Bioinformatics. 2003 Jul 22;19(11):1348-59.PMID: 12874046 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Gene selection with multiple ordering criteria.

    Chen JJ, Tsai CA, Tzeng S, Chen CH.

    BMC Bioinformatics. 2007 Mar 5;8:74.PMID: 17338815 [PubMed - indexed for MEDLINE]Related articlesFree article

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