Results 11 to 20 of about 557,537 (198)
Pre-processing Agilent microarray data [PDF]
BMC Bioinformatics, 2007 Background Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to quantify some of the sources of error that affect measurement of expression
Schaeffer Edward +7 more
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Normalizing DNA Microarray Data [PDF]
Current Issues in Molecular Biology, 2002 DNA microarrays are a powerful tool to investigate differential gene expression for thousands of genes simultaneously. Although DNA microarrays have been widely used to understand the critical events underlying growth, development, homeostasis, behavior and the onset of disease, the management of the resulting data has received little attention ...
Bilban, Martin +4 more
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Circulation Research, 2001 Over the last 10 to 20 years, the search for mechanisms responsible for cardiac remodeling during cardiac hypertrophy and failure has been hampered by the experimental tools available (primarily Western blot analysis and polymerase chain reaction). This is because these approaches only permit measurement of the expression levels of a few preselected ...
J S, Rao, M, Bond
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Transformations for cDNA Microarray Data [PDF]
Statistical Applications in Genetics and Molecular Biology, 2003 Two channel microarray data often contain systematic variations that can be minimized by data transformation prior to further analysis. The most commonly observed effects are revealed by viewing scatter plots of the logarithm of the ratio by the average logarithmic intensity of the two color channels (RI plots). In this paper we present a general model
Cui, Xiangqin +3 more
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Microarray data assembler [PDF]
Bioinformatics, 2003 Abstract Summary: Large volumes of microarray data are generated and deposited in public databases. Most of this data is in the form of tab-delimited text files or Excel spreadsheets. Combining data from several of these files to reanalyze these data sets is time consuming.
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Journal of ICT, 2020 Missing values are a huge constraint in microarray technologies towards improving and identifying disease-causing genes. Estimating missing values is an undeniable scenario faced by field experts.
Shamini Raja Kumaran +2 more
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TmaDB: a repository for tissue microarray data [PDF]
, 2005 Background: Tissue microarray (TMA) technology has been developed to facilitate large, genome-scale molecular pathology studies. This technique provides a high-throughput method for analyzing a large cohort of clinical specimens in a single experiment ...
Quirke, P, Sharma-Oates, A, Westhead, DR
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Analysing Microarray Data using the Multi-functional Immune Ontologiser
Journal of Integrative Bioinformatics, 2006 Gene expression microarrays are a prominent experimental tool in functional genomics allowing researchers to gain a deeper understanding of biological processes.
Khalid Sabah +4 more
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Prevalence and Patterns of Microarray Data Sharing [PDF]
, 2008 Sharing research data is a cornerstone of science. Although many tools and policies exist to encourage data sharing, the prevalence with which datasets are shared is not well understood. We report our preliminary results on patterns of sharing microarray
Heather A. Piwowar, Wendy W. Chapman
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Information visualization for DNA microarray data analysis: A critical review [PDF]
, 2008 Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression patterns of thousands of genes simultaneously.
Kuljis, J, Liu, X, Zhang, L
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