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Microarray Analysis of Sarcomas
Advances in Anatomic Pathology, 2006Microarrays 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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Genetic Analysis Using Microarrays
2003A vast amount of genome sequencing data has become available over the past few years and methods to facilitate high-throughput analysis of large sets of genes and samples have been developed to localize novel genes related to human cancer. As advanced robotic applications have made it possible to manufacture high-precision microarrays on glass or ...
W, El-Rifai, S, Knuutila
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Methods for Microarray Data Analysis
2007This 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 +2 more
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Microarray Data Analysis and Mining
2004DNA 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, Silvia +4 more
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Bioinformatics/Biostatistics: Microarray Analysis
2011The quantity and complexity of the molecular-level data generated in both research and clinical settings require the use of sophisticated, powerful computational interpretation techniques. It is for this reason that bioinformatic analysis of complex molecular profiling data has become a fundamental technology in the development of personalized medicine.
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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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2005
In this chapter, we discuss several analytical techniques and tools used in image analysis of microarray for data extraction and data analysis for pattern discovery such as cluster analysis, temporal expression profile analysis, and gene regulation analysis.
Liew, AWC, Yan, H, Yang, M, Chen, YPP
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In this chapter, we discuss several analytical techniques and tools used in image analysis of microarray for data extraction and data analysis for pattern discovery such as cluster analysis, temporal expression profile analysis, and gene regulation analysis.
Liew, AWC, Yan, H, Yang, M, Chen, YPP
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2006
Microarrays offer a powerful approach to the analysis of gene expression that can be used for a wide variety of experimental purposes. However, several types of microarray platforms are available. In addition, microarray experiments are expensive and generate complicated data sets that can be difficult to interpret.
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Microarrays offer a powerful approach to the analysis of gene expression that can be used for a wide variety of experimental purposes. However, several types of microarray platforms are available. In addition, microarray experiments are expensive and generate complicated data sets that can be difficult to interpret.
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Microarray technology has revolutionized the field of genomics by enabling quantitative measurement of gene expression levels for thousands of genes in a single experiment. This high-throughput technique has been instrumental in the understanding of biological processes, identification of biomarkers for diseases, and exploring molecular pathways of ...
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