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Identification of differentially expressed genes by means of outlier detection
BACKGROUND: An important issue in microarray data is to select, from thousands of genes, a small number of informative differentially expressed (DE) genes which may be key elements for a disease. If each gene is analyzed individually, there is a big number of hypotheses to test and a multiple compar...
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| Gepubliceerd in: | BMC Bioinformatics |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6131896/ https://ncbi.nlm.nih.gov/pubmed/30200879 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2318-8 |
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