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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
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 |