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The analysis of microarray data
Pharmacogenomics, 2003This article describes issues, techniques and algorithms for analyzing data from microarray experiments. Each such experiment generates a large amount of data, only a fraction of which comprises significant differentially expressed genes. The precise identification of these interesting genes is heavily dependent not only on the statistical data ...
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BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment
2008 IEEE Fourth International Conference on eScience, 2008Microarray technology is a high-throughput experimental technique that can measure expression levels of hundreds of thousands of genes simultaneously. To interpret massive data from gene-expression microarray experiments, biologists encounter computational and analytical challenges. This is especially challenging for small research labs that lack local
Youngik Yang +5 more
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Image Analysis for cDNA Microarrays
Methods of Information in Medicine, 2005Summary Objectives: We characterize typical problems encountered in microarray image analysis and present algorithmic approaches dealing with background estimation, spot identification and intensity extraction. Validation of the quality of resulting measurements is discussed.
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Microarray analysis of cellular thermotolerance
Lasers in Surgery and Medicine, 2010AbstractBackground and ObjectivesPreviously, we have shown that a 43°C pretreatment can provide thermotolerance to a following, more severe, thermal stress at 45°C. Using cells that lack the Hsp70 gene, we have also shown that there is still some thermotolerance in the absence of HSP70 protein.
Josh T, Beckham +8 more
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Microarray analysis of the developing cortex
Journal of Neurobiology, 2006AbstractAbnormal development of the prefrontal cortex (PFC) is associated with a number of neuropsychiatric disorders that have an onset in childhood or adolescence. Although the basic laminar structure of the PFC is established in utero, extensive remodeling continues into adolescence. To map the overall pattern of changes in cortical gene transcripts
Mawahib O, Semeralul +5 more
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The promise and perils of microarray analysis
American Journal of Obstetrics and Gynecology, 2006Microarray analysis has provided a novel means of identifying clues into the mechanisms of disease development. As a methodology, microarray analysis holds the promise for genome-wide screening in which 2 tissues (diseased and normal) are compared, and molecular pathways that defined the phenotype of the disease could be precisely defined ...
William H, Catherino +2 more
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Analysis of microRNA Microarrays in Cardiogenesis
2015microRNAs are a subclass of noncoding RNAs which have been demonstrated to play pivotal roles in multiple cellular mechanisms. microRNAs are small RNA molecules of 22-24 nt in length capable of modulating protein translation and/or RNA stability by base-priming with complementary sequences of the mRNAs, normally at the 3'untranslated region.
Diego, Franco +5 more
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Quantitative microarray pesticide analysis
Journal of Immunological Methods, 2004To replace a pesticide immunoassay based on microtiter plates, we have developed a quantitative, competitive microarray immunoassay, which permits rapid and highly sensitive quantification of the dichlobenil degradation product 2,6-dichlorobenzamide (BAM), and the prominently used herbicide atrazine.
Erik, Belleville +5 more
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Borrelia burgdorferi Microarray Analysis
2017Microarray studies have contributed significantly to the current understanding of Borrelia burgdorferi genome content and transcriptional regulation. Here, we describe the use of microarray technology for several aspects of B. burgdorferi genomic analysis.
Radha, Iyer, Ira, Schwartz
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Lectin Microarrays for Glycoprotein Analysis
2007Glycosylation is one of the most common posttranslational modifications, with more than half of all known proteins thought to be glycoproteins. Alterations in glycosylation play a role in a diverse set of biological phenomena including tumor cell metastasis, intracellular communication, and inflammation. The complexity of glycosylation at the molecular
Kanoelani T, Pilobello, Lara K, Mahal
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