microarray analysis
Clinical Utility of Chromosomal Microarray Analysis
... by microarray testing, which are expected to lead to speci fi c clinical actions and improved patient ...by microarray analysis and that the detection rate of these disorders is greater than the ...
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Microarray Analysis and Gene Expression : A simplified Review
... The microarray analysis field is now well-formed with accessible software and tools to make data analysis manageable by novice ...data analysis requires a considerable time and effort that ...
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Application of chromosomal microarray analysis in products of miscarriage
... Chromosomal microarray analysis was performed using the Affymetrix CytoScan platform, which contains both SNP markers and copy markers. All genomic DNA sam- ples were digested, amplified, fragmented, ...
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A Microarray Analysis of Parkinson’s Disease: New Clues and Evaluation
... First, microarray analysis was carried out to investigate gene expression patterns in the cortex and striatum ...throughput microarray analyses to evaluate the effect of EA and integrative data ...
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Integrated Classifier: A Tool for Microarray Analysis
... years, microarray data have been extensively studied for gene expres- sion analysis in biological and biomedical ...DNA Microarray technology have enabled the simultaneous measurement of the ...
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Microarray analysis of gene expression in lupus
... of microarray technology in patients with malignant disease 3 years ago, efforts to study mixed mononuclear cell popu- lations in patients with autoimmune diseases have been remarkably ...are ...
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Identification of biomarkers in macrophages of atherosclerosis by microarray analysis
... employed microarray technology to search and analyze a biological database and finally identified 16 hub genes closely related to the development of hepatocellular carcinoma ...
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Examination of oral cancer biomarkers by tissue microarray analysis.
... Differential gene expression of CDH11, MMP3, SPARC, POSTN, TNC, and TGM3 104.. between normal and cancer specimens was quantified by using SYBR ® Green I technology and 105.[r] ...
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Combined gene selection methods for microarray data analysis
... 1. A. Alizadeh, M. Eishen, E. Davis, and C. M. et. al. Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling. Nature, 403:503–511, 2000. 2. M. Brown, W. Grundy, D. Lin, N. Cristianini, C. ...
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A Comparative Study of Microarray Data Analysis for Cancer Classification
... image analysis a CEL file (Cell Intensity File) is generated, which contains raw probe level expression ...like Microarray Analysis Suite (MAS ...
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Data models for exploratory analysis of heterogeneous microarray data
... Note that the correlation and mean-expression distances are not metrics in a strict sense (e.g., do not satisfy triangular inequality) but introduced here because they are commonly used in practice for microarray ...
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WebArray: an online platform for microarray data analysis
... (before and after within-array normalization), printti- ploess plot for each array, box plot (before and after between-array normalization), chromosomal location mapping plots where M is plotted against chromosomal ...
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BioVLAB Microarray: Microarray Data Analysis in Virtual Environment
... in microarray data analysis is to execute multiple of analysis tasks as a single batch ...for analysis involves a series of execution of different analysis methods and it is often ...
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EMA - A R package for Easy Microarray data analysis.
... EMA is a freely available R package which implements a complete strategy for expression microarray analysis. The package includes a vignette [Additional file 2] which describes the detailed ...
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Clustering analysis of cancerous microarray data
... Cluster analysis is traditionally used in phylogenetic research and has been adopted to microarray analysis as ...from microarray experiment is represent in numeric form in a ...Cluster ...
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Clustering Techniques Analysis for Microarray Data
... statistical analysis techniques have made it possible to analyse thousands of genes at one ...Clustering analysis is one of the statistical techniques that play an important role for elucidating the hidden ...
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Analysis on Microarray Data and DNA Regulatory Elements Prediction
... represented the intrinsic expression difference among genes. This effect is not our concern since usually we are only interested in some specific genes rather than the gene main effects. The gene effects would not exist ...
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Extended-Regular Sequence for Automated Analysis of Microarray Images
... scene analysis, military applications, and other areas [9, ...a microarray image, since a microarray im- age contains much noise and the location of each spot varies somewhat in practice due to the ...
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Permutation validated principal components analysis of microarray data
... the analysis of microarray data having several conditions with a few replicates per con- dition or a group ...the analysis of temporal effects (for example [24]), we chose the yeast data to allow ...
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Predictive Analysis of Microarray Data
... For microarray data the sampling space can be taken as the real line with Borel sigma-field. If Q is a Dirichlet process with base measure α , it is convenient to work with the random distribution function defined ...
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