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ABSTRACT: Background
Gene expression profiling is a widely adopted method in areas like drug development or functional gene analysis. Microarray data of gene expression experiments is still commonly used and widely available for retrospective analyses. However, due to to changes of the underlying technologies data sets from different technologies are often difficult to compare and thus a multitude of already available data becomes difficult to use. We present a web application that abstracts away mathematical and programmatical details in order to enable a convenient and customizable analysis of microarray data for large-scale reproducibility studies. In addition, the web application provides a feature that allows easy access to large microarray repositories.Results
Our web applicati
SUBMITTER: Lietz K
PROVIDER: S-EPMC10111666 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature