Analysis of genome-scale count data in Bioconductor
Analysis of genome-scale count data in Bioconductor
Analysis of genome-scale count data in Bioconductor
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Conclud<strong>in</strong>g remarks• Must understand and ac<strong>count</strong> forbiological variability (overdispersion) <strong>in</strong>RNA-seq <strong>data</strong>• Negative b<strong>in</strong>omial model, shar<strong>in</strong>g<strong>in</strong>formation between genes• Exact and multiple test<strong>in</strong>g for accurate p-values