Finding Groups in Gene Expression Data
نویسندگان
چکیده
منابع مشابه
Finding Groups in Gene Expression Data
The vast potential of the genomic insight offered by microarray technologies has led to their widespread use since they were introduced a decade ago. Application areas include gene function discovery, disease diagnosis, and inferring regulatory networks. Microarray experiments enable large-scale, high-throughput investigations of gene activity and have thus provided the data analyst with a dist...
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Microarray Technology allows us to measure the expression of thousands of genes simultaneously, and under specific conditions. Clustering is the main tool used to analyze gene expression data obtained from microarray experiments. By grouping together genes with the same behavior across samples, resultant clusters suggest new functions for some of the genes. Non-exclusive clustering algorithms a...
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This paper aims to give an overview of methods to find groups in large data sets, such as household expenditure survey data. These methods are grouped in three: cluster analysis, dimension reduction and basic explorative methods. The emphasis is put on a critical analysis and potential drawbacks, especially of inputs that have to be provided by the researcher. These may impose some structure no...
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Several non-supervised machine learning methods have been used in the analysis of gene expression data obtained from microarray experiments. Recently, biclustering, a non-supervised approach that performs simultaneous clustering on the row and column dimensions of the data matrix, has been shown to be remarkably effective in a variety of applications. The goal of biclustering is to find subgrou...
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MOTIVATION The use of gene microchips has enabled a rapid accumulation of gene-expression data. One of the major challenges of analyzing this data is the diversity, in both size and signal strength, of the various modules in the gene regulatory networks of organisms. RESULTS Based on the iterative signature algorithm [Bergmann,S., Ihmels,J. and Barkai,N. (2002) Phys. Rev. E 67, 031902], we pr...
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ژورنال
عنوان ژورنال: Journal of Biomedicine and Biotechnology
سال: 2005
ISSN: 1110-7243,1110-7251
DOI: 10.1155/jbb.2005.215