@misc{Cegielska_Barbara_2010.04.20,
 author={Cegielska Barbara},
 address={Poznań},
 howpublished={online},
 year={2010.04.20},
 publisher={OWN},
 language={eng},
 abstract={In contemporary science, virtual laboratories give a chance to improve research by facilitating access to high-throughput technologies and bioinformatics methods. The Genomic Virtual Laboratory (GVL) presented here was developed for automate analysis of data retrieved from a microarray experiment. The system was implemented for R Bioconductor-based analysis of results obtained in the study on human acute myeloid leukaemia (AML). The article extends the theoretical aspects of GVL presented earlier [8] and describes how the particular elements were integrated to establish the advanced system of two-colour microarray data analysis.},
 type={artykuł},
}