Comparison with entire microarray expression data
Towards data grids for microarray expression profiles
... the data which had been inserted into a local DB2 repository was especially important for the ...own data sets might be ...their data sets with one ...their data sharing ...that data ...
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Towards data grids for microarray expression profiles
... the data which had been inserted into a local DB2 repository was especially important for the ...own data sets might be ...their data sets with one ...their data sharing ...that data ...
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Vector Quantization of Microarray Gene Expression Data
... II: Data preprocessing precondition – zero filling for genes whose expression value was null; data log transformed The Mus musculus dataset was preprocessed again by filling null values by zeroes and ...
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Mining microarray expression data by literature profiling
... The mining technique we describe is designed to guide the interpretation of complex expression databases. Key aspects of the technique contributing to the fulfillment of this goal include. The method is ...
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Mixture modeling of microarray gene expression data
... * Corresponding author Abstract About 28% of genes appear to have an expression pattern that follows a mixture distribution. We use first- and second-order partial correlation coefficients to identify trios and ...
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Comparison of the Bayesian Networks using Microarray Data
... Networks, Microarray data, ...high-throughput microarray technologies, mRNA expression levels of tens of thousands of genes can now be measured ...experimental data will greatly ...
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Security-oriented data grids for microarray expression profiles
... own data and define their own security policies on access and ...their data publicly available for example in one of the existing repositories such as Gene Expression Omnibus (GEO) at NCBI [2], ...
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Consensus Network Inference of Microarray Gene Expression Data
... this data, we can see that the performance of RedeR and WGCNA improves as the number of modules is ...gene expression data, followed by SIMoNe and RedeR (see Figure ...
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Cluster Rasch models for microarray gene expression data
... or microarray technology has been developed that allows researchers to measure the expression levels of thousands of genes simultaneously over different time points, different experimental conditions or ...
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Analysis of Gene Expression Microarray Time Series Data
... time-course data, has been ...the microarray expression data of each gene is averaged over the samples, hence, the number of samples does not have much influence on the accuracy of the delay ...
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Classification approaches for microarray gene expression data analysis
... 1.4 Classification Techniques In the current study, we deal with a classification problem which focuses on dividing the samples of four microarray datasets into two categories. Any classification method uses a set ...
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Gene Expression Analysis Methods on Microarray Data – A Review
... cancerous microarray datasets, it is demonstrated that MIA could typically select a small number of margin- influencing genes and further achieves comparable classification accuracy compared to those reported in ...
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Feature selection of imbalanced gene expression microarray data
... dimensional data with a low number of observations and high correlated ...of microarray data ...and Microarray is that random forest can handle missing data and unbalanced ...In ...
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A comparison of cancer classification methods based on microarray data.
... disease. Microarray technology allows the study of thousand of genes simultaneously, unlike traditional molecular biology tools, which only al- low the study of single genes at a ...high-dimensional ...
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Comparison of threshold selection methods for microarray gene co expression matrices
... Estimated thresholds obtained by each method are listed in Table 1 for the three datasets. If estimated threshold is higher than the biological threshold, false negatives will occur, because data reduction by the ...
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Model based cluster analysis of microarray gene expression data
... Results and discussion Data and preprocessing Pneumococcal otitis media is one of the most common dis- eases in children. Almost every child in the United States experiences at least one episode of acute otitis ...
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Making microarray and RNA-seq gene expression data comparable
... RNA-seq data was shown to be highly reproducible and the technical variance across the lanes was very ...with microarray gene expression measures rather well both on an absolute and differential gene ...
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Applying Gene Ontology to Microarray Gene Expression Data Analysis
... A. Dynamic time warping (DTW) Dynamic time warping is a commonly-used algorithm which was first applied in voice and pattern recognition [18, 19]. Literatures have been shown that DTW performs well to find out the ...
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Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles
... the microarray data are also very ...the data is large. A typical microarray data set will have thousands to ten thousands of data series and up to millions of data ...a ...
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Molecular Markers for Sweet Sorghum Based on Microarray Expression Data
... the microarray described here by hybridizing stem-derived RNAs from these lines to the sugarcane genechip, and identify both ELPs and SFPs for subsequent mapping of sugar content ...
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