Microarray Gene Expression study
A Study of Cancer Microarray Gene Expression Profile: Objectives and Approaches
... CONCLUSION Microarray based gene expression profiling has become an important and promising approach that can be used for cancer ...of microarray dataset is to classify unknown tissue samples ...
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Microarray analysis of gene expression in lupus
... differential gene expres- ...a gene expression profile that was distinct for SLE as com- pared with RA or other autoimmune ...induced gene encoding the RNA-specific adenosine deaminase, was ...
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Gene expression in acute Stanford type A dissection: a comparative microarray study
... each gene from the con- trol and dissected cohorts of ...differential gene expres- sion based on such values may be very high even when there is no significant difference in the expression level of ...
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Applying Gene Ontology to Microarray Gene Expression Data Analysis
... of gene ontology, this task can be done more efficiently and ...use gene ontology is [13]. In the study, the algorithm proposed by the authors first finds the sets of GO ids for the pair of genes ...
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Microarray gene expression: a study of between-platform association of Affymetrix and cDNA arrays
... that gene expres- sions can be measured in any of its multiple ...the expression measures of Affymetrix ® - and ...the gene expressions of both cDNA and Affymetrix platforms to a common and ...
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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 ...
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Title: Classification Techniques in Gene Expression Microarray Data
... in gene expression ...the study of algorithms that can learn from experience and then ...DNA microarray technology has formed a new line of research in both data mining and ...the ...
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Analysis of Differential Expression of microRNAs and Their Target Genes in Prostate Cancer: A Bioinformatics Study on Microarray Gene Expression Data
... and gene expression ...Dysregulated expression of the key genes in these signaling pathways has been reported in PCa ...the expression profile of microRNAs in the clinical samples of patients ...
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Model based cluster analysis of microarray gene expression data
... to study their roles in otitis media. A study was recently carried out at the University of Minnesota, applying radioactively labeled cDNA microarrays [14] to the mRNA analysis of 1,176 genes in middle-ear ...
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A DNA microarray survey of gene expression in normal human tissues
... our study was to survey variation in gene expression across a diverse set of normal human tissue ...cDNA microarray gene- expression dataset profiling approximately 26,000 human ...
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The diagnosis of inherited metabolic diseases by microarray gene expression profiling
... this study, we investigated whether microarray gene expression profiling of cultured fibroblasts could identify the metabolic defect in 68 patients with proven or sus- pected inherited ...
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Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles
... its gene expressions differ across types, stages, and ...these gene expression levels across different stages in different tis- sues or cells, or under different conditions, is very important and ...
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Microarray Gene Expression Profiling and Analysis in Renal Cell Carcinoma
... of gene expression profiles in RCC tissues and the cell lines shows significant differences between the expression patterns of the two different types of sam- ...more gene mutations were ...
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Progressive obesity leads to altered ovarian gene expression in the Lethal Yellow mouse: a microarray study
... Hsd11b2 expression in aging obese LY ...and expression and activity of 11beta-hydroxysteroid dehydrogenases can be altered in obesity and diabetes in a tissue-specific man- ner ...
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Mouse strain specific gene expression differences for illumina microarray expression profiling in embryos
... like microarray based expression profiling dramatically increased data availability and sensitivity, yet these advanced methods are often vulnerable to the unavoidable heterogeneity of in vivo material and ...
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GEPAS: A web-based resource for microarray gene expression data analysis
... on gene (or protein) function or properties are based in the pre-genomic design in which the information is acceded and displayed in format one-gene-at-a- ...final study of the available information ...
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Comparison of threshold selection methods for microarray gene co expression matrices
... To study stability of the methods, 10,000 block bootstrap samples were created by sampling arrays with replace- ment from each block. Blocks were defined to be 2 or 3 adjacent time periods, such that each block ...
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Vector Quantization of Microarray Gene Expression Data
... of gene expression data lies in the fact that LVQ has been used as a tool to minimize classification errors, by means of more appropriate discrimination between decision boundaries of classes ...
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Mixture modeling of microarray gene expression data
... an expression pattern that follows a mixture ...three gene groups based on their factor ...the expression phenotypes of the five most concordant genes in the first ...
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Microarray Analysis and Gene Expression : A simplified Review
... hybridized microarray are excited by a laser ray and scanned at suitable wavelengths to detect the red and green ...particular gene is in greater abundance than that from other condition, the spot would be ...
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