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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Count <strong>data</strong>• BUT we have learned much from theanalysis <strong>of</strong> microarray <strong>data</strong>• Methods that share <strong>in</strong>formation over thewhole <strong>data</strong>set generally:– stabilize parameter estimation– improve performance <strong>of</strong> mak<strong>in</strong>g <strong>in</strong>ferences
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