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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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ACM SIGKDD Explorations Newsletter, 2003
All organisms on Earth, except for viruses, consist of cells. Yeast, for example, has one cell, while humans have trillions of cells. All cells have a nucleus, and inside nucleus there is DNA, which encodes the “program” for making future organisms. DNA has coding and non-coding segments, and coding segments, called “genes”, specify the structure of ...
Gregory Piatetsky-Shapiro, Pablo Tamayo
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All organisms on Earth, except for viruses, consist of cells. Yeast, for example, has one cell, while humans have trillions of cells. All cells have a nucleus, and inside nucleus there is DNA, which encodes the “program” for making future organisms. DNA has coding and non-coding segments, and coding segments, called “genes”, specify the structure of ...
Gregory Piatetsky-Shapiro, Pablo Tamayo
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Discovering Patterns in Microarray Data
Molecular Diagnosis, 2000The human genome is a complex system characterized by gene interactions and nonlinear behaviors. Complex systems cannot be viewed as the aggregate of their isolated pieces but must be studied as an integrated whole. Microarray technologies offer the opportunity to see the entire biological system as it existed at one moment in time.
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2010
Microarray technology is a powerful tool to analyze thousands of gene expression values with a single experiment. Due to the huge amount of data, most of recent studies are focused on the analysis and the extraction of useful and interesting information from microarray data. Examples of applications include detecting genes highly correlated to diseases,
BRUNO, GIULIA, FIORI, ALESSANDRO
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Microarray technology is a powerful tool to analyze thousands of gene expression values with a single experiment. Due to the huge amount of data, most of recent studies are focused on the analysis and the extraction of useful and interesting information from microarray data. Examples of applications include detecting genes highly correlated to diseases,
BRUNO, GIULIA, FIORI, ALESSANDRO
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2005
During the last 10 years and in particularly within the last few years, there has been a data explosion associated with the completion of the human genome project (HGP) (IHGMC and Venter et al., 2001) in 2001 and the many sophisticated genomics technologies.
Nanxiang Ge, Li Liu
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During the last 10 years and in particularly within the last few years, there has been a data explosion associated with the completion of the human genome project (HGP) (IHGMC and Venter et al., 2001) in 2001 and the many sophisticated genomics technologies.
Nanxiang Ge, Li Liu
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Analysis of DNA Microarray Data
Current Topics in Medicinal Chemistry, 2004Recent advances in DNA microarray technology have great impact on many areas of biomedical research and pharmacogenomics: discovering novel targets and genes, elucidating signatures of complex diseases, transcriptional profiling of models for diseases, and the development of individually optimized drugs based on differential gene expression patterns ...
Hubert, Hackl +4 more
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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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Extracting meaning from microarray data
Biochemical Society Transactions, 2003Gene expression is complex: many mRNAs change in abundance in response to a new condition. But while some of these expression changes may be direct, many may be downstream, indirect effects. One of the major problems of microarray data analysis is distinguishing between these changes.
R K, Curtis, M D, Brand
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Building Networks with Microarray Data
2009This chapter describes methods for learning gene interaction networks from high-throughput gene expression data sets. Many genes have unknown or poorly understood functions and interactions, especially in diseases such as cancer where the genome is frequently mutated. The gene interactions inferred by learning a network model from the data can form the
Bradley M, Broom +3 more
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