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GeneTrailExpress: a web-based pipeline for the statistical evaluation of microarray experiments
Authors:Andreas Keller  Christina Backes  Maher Al-Awadhi  Andreas Gerasch  Jan Küntzer  Oliver Kohlbacher  Michael Kaufmann  Hans-Peter Lenhof
Affiliation:1.Center for Bioinformatics,Saarland University,Saarbrücken,Germany;2.Wilhelm Schickard Institute for Computer Science,Eberhard Karls University,Tübingen,Germany
Abstract:

Background  

High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical processes. While the noisiness of the data necessitates an extensive pre-processing of the raw data, the high dimensionality requires effective statistical analysis methods that facilitate the identification of crucial biological features and relations. For these reasons, the evaluation and interpretation of expression data is a complex, labor-intensive multi-step process. While a variety of tools for normalizing, analysing, or visualizing expression profiles has been developed in the last years, most of these tools offer only functionality for accomplishing certain steps of the evaluation pipeline.
Keywords:
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