Results 221 to 230 of about 333,655 (268)

Microarray Analysis of Sarcomas

Advances in Anatomic Pathology, 2006
Microarrays began to be used to study gene expression profiles in the mid-1990s, but it was only after 2000 that serious attempts have been made to apply this technology to investigate sarcomas. Microarray technologies provide a comprehensive survey of active molecular pathways and potential molecular targets for diagnosis and treatment, but are ...
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Evolution of microarray analysis

Neurobiology of Aging, 2006
Reddy's very thorough review of the history of gene expression analysis of neurodegenerative disease made me think about the early days of microarrays, so I want to reminisce a little before commenting on the evolution of the technology and some issues that I think still continue to plague us.
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Microarray Data Analysis Protocol

2021
Microarrays are broadly used in the omic investigation and have several areas of applications in biology and medicine, providing a significant amount of data for a single experiment. Different kinds of microarrays are available, identifiable by characteristics such as the type of probes, the surface used as support, and the method used for the target ...
Agapito G, Arbitrio M
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The analysis of microarray data

Pharmacogenomics, 2003
This 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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Methods for Microarray Data Analysis

2007
This chapter outlines a typical workflow for micraorray data analysis. It aims at explaining the background of the methods as this is necessary for deciding upon a specific numerical method to use and for understanding and interpreting the outcomes of the analyses.
De Bruyne, Veronique, Al-Mulla, Fahd, Pot, Bruno   +2 more
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Microarray Data Analysis and Mining

2004
DNA microarray is an innovative technology for obtaining information on gene function. Because it is a high-throughput method, computational tools are essential in data analysis and mining to extract the knowledge from experimental results. Filtering procedures and statistical approaches are frequently combined to identify differentially expressed ...
SAVIOZZI S, IAZZETTI, GIOVANNI, CASERTA E, GUFFANTI A, CALOGERO R. A.   +4 more
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BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment

2008 IEEE Fourth International Conference on eScience, 2008
Microarray 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, Jong Youl Choi, Kwangmin Choi, Marlon E. Pierce, Dennis Gannon, Sun Kim   +5 more
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Image Analysis for cDNA Microarrays

Methods of Information in Medicine, 2005
Summary 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, 2010
AbstractBackground 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, Gerald J, Wilmink, Susan R, Opalenik, Mark A, Mackanos, Alex A, Abraham, Keiko, Takahashi, Chris H, Contag, Takamune, Takahashi, E Duco, Jansen   +8 more
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Microarray analysis of the developing cortex

Journal of Neurobiology, 2006
AbstractAbnormal 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, Paul C, Boutros, Olga, Likhodi, Allan B, Okey, Hubert H M, Van Tol, Albert H C, Wong   +5 more
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