Strategies for comparing gene expression profiles from different microarray platforms: application to a case-control experiment.
暂无分享,去创建一个
M. Severgnini | C. Peano | L. Milanesi | F. Viti | S. Bicciato | M. Mattioli | A. Mezzelani | C. Battaglia | F. Scarlatti | G. De Bellis | R. Bonnal | E. Mangano | R. Ghidoni
[1] Kathleen F. Kerr,et al. Standardizing global gene expression analysis between laboratories and across platforms , 2005, Nature Methods.
[2] Bryan Frank,et al. Independence and reproducibility across microarray platforms , 2005, Nature Methods.
[3] K. Mirnics,et al. Platform influence on DNA microarray data in postmortem brain research , 2005, Neurobiology of Disease.
[4] Tatiana Tatusova,et al. NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins , 2004, Nucleic Acids Res..
[5] Gary Hardiman,et al. Microarray platforms--comparisons and contrasts. , 2004, Pharmacogenomics.
[6] Sangdun Choi,et al. Current issues for DNA microarrays: platform comparison, double linear amplification, and universal RNA reference. , 2004, Journal of biotechnology.
[7] R. Shippy,et al. Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations , 2004, BMC Genomics.
[8] Zoltan Szallasi,et al. Increased measurement accuracy for sequence-verified microarray probes. , 2004, Physiological genomics.
[9] Zhong-Hui Duan,et al. Effects of resveratrol on gene expression in renal cell carcinoma , 2004, Cancer biology & therapy.
[10] Joaquín Dopazo,et al. FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes , 2004, Bioinform..
[11] L. Yakubov,et al. Extracellular genomic DNA protects mice against radiation and chemical mutagens , 2003, Genome Biology.
[12] Tiffani J. Bright,et al. PubMatrix: a tool for multiplex literature mining , 2003, BMC Bioinformatics.
[13] F. Scarlatti,et al. The FASEB Journal express article 10.1096/fj.03-0292fje. Published online October 16, 2003. Resveratrol induces growth inhibition and apoptosis in metastatic breast cancer cells via de novo ceramide signaling , 2022 .
[14] R. Lempicki,et al. Evaluation of gene expression measurements from commercial microarray platforms. , 2003, Nucleic acids research.
[15] B. De Moor,et al. Comparison and meta-analysis of microarray data: from the bench to the computer desk. , 2003, Trends in genetics : TIG.
[16] Douglas A. Hosack,et al. Identifying biological themes within lists of genes with EASE , 2003, Genome Biology.
[17] Brad T. Sherman,et al. DAVID: Database for Annotation, Visualization, and Integrated Discovery , 2003, Genome Biology.
[18] K. Lillemoe,et al. Identification of novel cellular targets in biliary tract cancers using global gene expression technology. , 2003, The American journal of pathology.
[19] Kristina Hanspers,et al. Spotted long oligonucleotide arrays for human gene expression analysis. , 2003, Genome research.
[20] Yung-Hyun Choi,et al. Genome-scale analysis of resveratrol-induced gene expression profile in human ovarian cancer cells using a cDNA microarray. , 2003, International journal of oncology.
[21] N. Narayanan,et al. Differential expression of genes induced by resveratrol in LNCaP cells: P53‐mediated molecular targets , 2003, International journal of cancer.
[22] T. Speed,et al. Summaries of Affymetrix GeneChip probe level data. , 2003, Nucleic acids research.
[23] Jiang Li,et al. Differential gene expression patterns revealed by oligonucleotide versus long cDNA arrays. , 2002, Toxicological sciences : an official journal of the Society of Toxicology.
[24] Ravi Kothapalli,et al. Microarray results: how accurate are they? , 2002, BMC Bioinformatics.
[25] V. Jordan,et al. Molecular classification of selective oestrogen receptor modulators on the basis of gene expression profiles of breast cancer cells expressing oestrogen receptor α , 2002, British Journal of Cancer.
[26] F. Speleman,et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes , 2002, Genome Biology.
[27] Angela Relógio,et al. Optimization of oligonucleotide-based DNA microarrays. , 2002, Nucleic acids research.
[28] R. Shippy,et al. An assessment of Motorola CodeLink microarray performance for gene expression profiling applications. , 2002, Nucleic acids research.
[29] G. Stoner,et al. Interactive gene expression pattern in prostate cancer cells exposed to phenolic antioxidants. , 2002, Life sciences.
[30] Lucila Ohno-Machado,et al. Analysis of matched mRNA measurements from two different microarray technologies , 2002, Bioinform..
[31] Jason E. Stewart,et al. Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.
[32] Cheng Li,et al. Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application , 2001, Genome Biology.
[33] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[34] C. Li,et al. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[35] J. Appleton. The Hypertrophy of the Submaxillary Gland in the Albino Rat, Following Parathyroidectomy. , 1925, The American journal of pathology.
[36] Carole L Yauk,et al. Comprehensive comparison of six microarray technologies. , 2004, Nucleic acids research.
[37] Guoying Liu,et al. NetAffx: Affymetrix probesets and annotations , 2003, Nucleic Acids Res..
[38] David Botstein,et al. SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data , 2003, Nucleic Acids Res..