Correction and integration of normalized microarray data
نویسندگان
چکیده
منابع مشابه
Integration and Reduction of Microarray Gene Expressions Using an Information Theory Approach
The DNA microarray is an important technique that allows researchers to analyze many gene expression data in parallel. Although the data can be more significant if they come out of separate experiments, one of the most challenging phases in the microarray context is the integration of separate expression level datasets that have gathered through different techniques. In this paper, we prese...
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An enormous amount of microarray data has been collected and accumulated in public repositories. Although some of the depositions include raw and processed data, significant parts of them include processed data only. If we need to combine multiple datasets for specific purposes, the data should be adjusted prior to use to remove bias between the datasets. We focused on a GeneChip platform and a...
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In the fifth development plan establishment, establishment of the Cadastre System of agriculture nationwide has been defined to be the work priority of institutions and organizations responsible in the area of agriculture and equity issuance in the country. In this study, the possibility of provision of the Cadastral mapping of agriculture by a integration of the data of the remote sensing and ...
متن کاملIntegration of Remote Sensing and the GIS-based Methods for Provision of Cadastral Mapping of Agricultural Areas of Ardakan City
In the fifth development plan establishment, establishment of the Cadastre System of agriculture nationwide has been defined to be the work priority of institutions and organizations responsible in the area of agriculture and equity issuance in the country. In this study, the possibility of provision of the Cadastral mapping of agriculture by a integration of the data of the remote sensing and ...
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Microarray data analysis typically consists in identifying a list of differentially expressed genes (DEG), i.e., the genes that are differentially expressed between two experimental conditions. Variance shrinkage methods have been considered a better choice than the standard t-test for selecting the DEG because they correct the dependence of the error with the expression level. This dependence ...
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