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    Results: 1 to 20 of 174

    1.

    Fisher's combined p-value for detecting differentially expressed genes using Affymetrix expression arrays.

    Hess A, Iyer H.

    BMC Genomics. 2007 Apr 9;8:96.PMID: 17419876 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    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

    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.

    A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates.

    Hein AM, Richardson S.

    BMC Bioinformatics. 2006 Jul 20;7:353.PMID: 16857053 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    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

    6.

    Significance analysis of ROC indices for comparing diagnostic markers: applications to gene microarray data.

    Tsai CA, Chen JJ.

    J Biopharm Stat. 2004 Nov;14(4):985-1003.PMID: 15587976 [PubMed - indexed for MEDLINE]Related articles

    7.

    Filtering for increased power for microarray data analysis.

    Hackstadt AJ, Hess AM.

    BMC Bioinformatics. 2009 Jan 8;10:11.PMID: 19133141 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    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

    9.

    Can subtle changes in gene expression be consistently detected with different microarray platforms?

    Pedotti P, 't Hoen PA, Vreugdenhil E, Schenk GJ, Vossen RH, Ariyurek Y, de Hollander M, Kuiper R, van Ommen GJ, den Dunnen JT, Boer JM, de Menezes RX.

    BMC Genomics. 2008 Mar 10;9:124.PMID: 18331641 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Multiple-testing strategy for analyzing cDNA array data on gene expression.

    Delongchamp RR, Bowyer JF, Chen JJ, Kodell RL.

    Biometrics. 2004 Sep;60(3):774-82.PMID: 15339301 [PubMed - indexed for MEDLINE]Related articles

    11.

    Selection of differentially expressed genes in microarray data analysis.

    Chen JJ, Wang SJ, Tsai CA, Lin CJ.

    Pharmacogenomics J. 2007 Jun;7(3):212-20. Epub 2006 Aug 29.PMID: 16940966 [PubMed - indexed for MEDLINE]Related articles

    12.

    Empirical validation of the S-Score algorithm in the analysis of gene expression data.

    Kennedy RE, Archer KJ, Miles MF.

    BMC Bioinformatics. 2006 Mar 17;7:154.PMID: 16545131 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    A statistical method for predicting splice variants between two groups of samples using GeneChip expression array data.

    Fan W, Khalid N, Hallahan AR, Olson JM, Zhao LP.

    Theor Biol Med Model. 2006 Apr 7;3:19.PMID: 16603076 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    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

    15.

    Uncovering information on expression of natural antisense transcripts in Affymetrix MOE430 datasets.

    Oeder S, Mages J, Flicek P, Lang R.

    BMC Genomics. 2007 Jun 28;8:200.PMID: 17598913 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    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

    17.

    Integrating probe-level expression changes across generations of Affymetrix arrays.

    Elo LL, Lahti L, Skottman H, Kyläniemi M, Lahesmaa R, Aittokallio T.

    Nucleic Acids Res. 2005 Dec 14;33(22):e193.PMID: 16356924 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    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

    19.

    A comparison of Affymetrix gene expression arrays.

    Robinson MD, Speed TP.

    BMC Bioinformatics. 2007 Nov 15;8:449.PMID: 18005448 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    A verification protocol for the probe sequences of Affymetrix genome arrays reveals high probe accuracy for studies in mouse, human and rat.

    Alberts R, Terpstra P, Hardonk M, Bystrykh LV, de Haan G, Breitling R, Nap JP, Jansen RC.

    BMC Bioinformatics. 2007 Apr 20;8:132.PMID: 17448222 [PubMed - indexed for MEDLINE]Related articlesFree article

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