FACT – a framework for the functional interpretation of high-throughput experiments

BACKGROUND: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-points that need to be analyzed in parallel. It is usually a matter of extensive testing and unknown beforehand, which of t...

Descripción completa

Detalles Bibliográficos
Autores principales: Kokocinski, Felix, Delhomme, Nicolas, Wrobel, Gunnar, Hummerich, Lars, Toedt, Grischa, Lichter, Peter
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1189078/
https://www.ncbi.nlm.nih.gov/pubmed/15985174
http://dx.doi.org/10.1186/1471-2105-6-161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1189078/
https://www.ncbi.nlm.nih.gov/pubmed/15985174
http://dx.doi.org/10.1186/1471-2105-6-161

Ejemplares similares