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Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
BACKGROUND: Post-genomic molecular biology has resulted in an explosion of data, providing measurements for large numbers of genes, proteins and metabolites. Time series experiments have become increasingly common, necessitating the development of novel analysis tools that capture the resulting data...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2011
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3228548/ https://ncbi.nlm.nih.gov/pubmed/21995452 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-399 |
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