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    Results: 1 to 20 of 184

    1.

    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

    2.

    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip studies.

    Hu Z, Willsky GR.

    BMC Bioinformatics. 2006 Jan 10;7:12.PMID: 16403228 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    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

    4.

    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

    5.

    Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays.

    Seo J, Bakay M, Chen YW, Hilmer S, Shneiderman B, Hoffman EP.

    Bioinformatics. 2004 Nov 1;20(16):2534-44. Epub 2004 Apr 29.PMID: 15117752 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Including probe-level uncertainty in model-based gene expression clustering.

    Liu X, Lin KK, Andersen B, Rattray M.

    BMC Bioinformatics. 2007 Mar 21;8:98.PMID: 17376221 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    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

    8.

    Sex genes for genomic analysis in human brain: internal controls for comparison of probe level data extraction.

    Galfalvy HC, Erraji-Benchekroun L, Smyrniotopoulos P, Pavlidis P, Ellis SP, Mann JJ, Sibille E, Arango V.

    BMC Bioinformatics. 2003 Sep 8;4:37. Epub 2003 Sep 8.PMID: 12962547 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    The utility of MAS5 expression summary and detection call algorithms.

    Pepper SD, Saunders EK, Edwards LE, Wilson CL, Miller CJ.

    BMC Bioinformatics. 2007 Jul 30;8:273.PMID: 17663764 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Probe set algorithms: is there a rational best bet?

    Seo J, Hoffman EP.

    BMC Bioinformatics. 2006 Aug 30;7:395.PMID: 16942624 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Normality of oligonucleotide microarray data and implications for parametric statistical analyses.

    Giles PJ, Kipling D.

    Bioinformatics. 2003 Nov 22;19(17):2254-62.PMID: 14630654 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    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

    13.

    A class of models for analyzing GeneChip gene expression analysis array data.

    Fan W, Pritchard JI, Olson JM, Khalid N, Zhao LP.

    BMC Genomics. 2005 Feb 14;6(1):16.PMID: 15710039 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Exploration, normalization, and summaries of high density oligonucleotide array probe level data.

    Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP.

    Biostatistics. 2003 Apr;4(2):249-64.PMID: 12925520 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application.

    Li C, Hung Wong W.

    Genome Biol. 2001;2(8):RESEARCH0032. Epub 2001 Aug 3.PMID: 11532216 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    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

    17.

    The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies.

    Verhaak RG, Staal FJ, Valk PJ, Lowenberg B, Reinders MJ, de Ridder D.

    BMC Bioinformatics. 2006 Mar 2;7:105.PMID: 16512908 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    SScore: an R package for detecting differential gene expression without gene expression summaries.

    Kennedy RE, Kerns RT, Kong X, Archer KJ, Miles MF.

    Bioinformatics. 2006 May 15;22(10):1272-4. Epub 2006 Mar 30.PMID: 16574698 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Correlation test to assess low-level processing of high-density oligonucleotide microarray data.

    Ploner A, Miller LD, Hall P, Bergh J, Pawitan Y.

    BMC Bioinformatics. 2005 Mar 31;6:80.PMID: 15799785 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    A comparison of statistical methods for analysis of high density oligonucleotide array data.

    Rajagopalan D.

    Bioinformatics. 2003 Aug 12;19(12):1469-76.PMID: 12912826 [PubMed - indexed for MEDLINE]Related articlesFree article

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