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Items: 1 to 20 of 215

1.

Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms.

't Hoen PA, Ariyurek Y, Thygesen HH, Vreugdenhil E, Vossen RH, de Menezes RX, Boer JM, van Ommen GJ, den Dunnen JT.

Nucleic Acids Res. 2008 Dec;36(21):e141. doi: 10.1093/nar/gkn705.

2.

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. doi: 10.1186/1471-2164-9-124.

3.

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.

4.

Power of deep sequencing and agilent microarray for gene expression profiling study.

Feng L, Liu H, Liu Y, Lu Z, Guo G, Guo S, Zheng H, Gao Y, Cheng S, Wang J, Zhang K, Zhang Y.

Mol Biotechnol. 2010 Jun;45(2):101-10. doi: 10.1007/s12033-010-9249-6.

PMID:
20432071
5.

Gene expression and isoform variation analysis using Affymetrix Exon Arrays.

Bemmo A, Benovoy D, Kwan T, Gaffney DJ, Jensen RV, Majewski J.

BMC Genomics. 2008 Nov 7;9:529. doi: 10.1186/1471-2164-9-529. Erratum in: BMC Genomics. 2009 Mar 23;10. doi: 10.1186/1471-2164-10-121.

6.

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.

PMID:
16253343
7.

Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs.

Pradervand S, Weber J, Lemoine F, Consales F, Paillusson A, Dupasquier M, Thomas J, Richter H, Kaessmann H, Beaudoing E, Hagenbüchle O, Harshman K.

Biotechniques. 2010 Mar;48(3):219-22. doi: 10.2144/000113367.

8.

Relative power and sample size analysis on gene expression profiling data.

van Iterson M, 't Hoen PA, Pedotti P, Hooiveld GJ, den Dunnen JT, van Ommen GJ, Boer JM, Menezes RX.

BMC Genomics. 2009 Sep 17;10:439. doi: 10.1186/1471-2164-10-439.

9.

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.

10.

"Per cell" normalization method for mRNA measurement by quantitative PCR and microarrays.

Kanno J, Aisaki K, Igarashi K, Nakatsu N, Ono A, Kodama Y, Nagao T.

BMC Genomics. 2006 Mar 29;7:64.

11.

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.

12.

A rapid method for microarray cross platform comparisons using gene expression signatures.

Cheadle C, Becker KG, Cho-Chung YS, Nesterova M, Watkins T, Wood W 3rd, Prabhu V, Barnes KC.

Mol Cell Probes. 2007 Feb;21(1):35-46.

PMID:
16982174
13.

Expression profiling in laser-microdissected hippocampal subregions in rat brain reveals large subregion-specific differences in expression.

Datson NA, Meijer L, Steenbergen PJ, Morsink MC, van der Laan S, Meijer OC, de Kloet ER.

Eur J Neurosci. 2004 Nov;20(10):2541-54.

PMID:
15548198
14.

Independence and reproducibility across microarray platforms.

Larkin JE, Frank BC, Gavras H, Sultana R, Quackenbush J.

Nat Methods. 2005 May;2(5):337-44.

15.

Evaluation of DNA microarray results with quantitative gene expression platforms.

Canales RD, Luo Y, Willey JC, Austermiller B, Barbacioru CC, Boysen C, Hunkapiller K, Jensen RV, Knight CR, Lee KY, Ma Y, Maqsodi B, Papallo A, Peters EH, Poulter K, Ruppel PL, Samaha RR, Shi L, Yang W, Zhang L, Goodsaid FM.

Nat Biotechnol. 2006 Sep;24(9):1115-22.

PMID:
16964225
16.

Robust detection and genotyping of single feature polymorphisms from gene expression data.

Wang M, Hu X, Li G, Leach LJ, Potokina E, Druka A, Waugh R, Kearsey MJ, Luo Z.

PLoS Comput Biol. 2009 Mar;5(3):e1000317. doi: 10.1371/journal.pcbi.1000317.

17.

Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies.

Hornshøj H, Bendixen E, Conley LN, Andersen PK, Hedegaard J, Panitz F, Bendixen C.

BMC Genomics. 2009 Jan 19;10:30. doi: 10.1186/1471-2164-10-30.

18.

A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies.

Kuo WP, Liu F, Trimarchi J, Punzo C, Lombardi M, Sarang J, Whipple ME, Maysuria M, Serikawa K, Lee SY, McCrann D, Kang J, Shearstone JR, Burke J, Park DJ, Wang X, Rector TL, Ricciardi-Castagnoli P, Perrin S, Choi S, Bumgarner R, Kim JH, Short GF 3rd, Freeman MW, Seed B, Jensen R, Church GM, Hovig E, Cepko CL, Park P, Ohno-Machado L, Jenssen TK.

Nat Biotechnol. 2006 Jul;24(7):832-40.

PMID:
16823376
19.

Determining gene expression on a single pair of microarrays.

Reid RW, Fodor AA.

BMC Bioinformatics. 2008 Nov 21;9:489. doi: 10.1186/1471-2105-9-489.

20.
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