title: An encapsulated R application for the guided analysis of genomic data.
abstract: Microarrays are widely used in biomedical research. However, researchers conducting the biomedical assays are often not skilled to perform the necessary biostatistical preprocessing of the resulting data. As a result, researchers with different backgrounds contribute to the analysis, but often without documenting how the data were transformed. For a biomedical research network on liver cancer, we implemented a prototype that has two major aims: First, it should guide biomedical researchers through the analysis of microarray data by providing a limited amount of appropriate choices for the biostatistical procedures to be applied. Second, it should help to ensure data quality by documenting all transformations applied to the data set.
authors.affiliation: Department of Medical Informatics, University of Heidelberg, Heidelberg, Germany. matthias.ganzinger@med.uni-heidelberg.de
authors.forename: Matthias
authors.initials: M
authors.lastname: Ganzinger
authors.forename: Miriam
authors.initials: M
authors.lastname: Kesselmeier
authors.forename: Jasmin
authors.initials: J
authors.lastname: Fabian
authors.forename: Petra
authors.initials: P
authors.lastname: Knaup
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002874:Chromosome Mapping / Q000379:methods*; D019091:Critical Pathways; D005858:Germany; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011381:Programming Languages; D012984:Software; D014584:User-Computer Interface