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Algorithms form a bridge between mathematical expression and computational evaluation. Statistical algorithms and insights are particularly relevant in high-throughput analysis: the large volume of data masks small sample size; technical artifacts abound; and nuanced questions require innovative rather than cookie-cutter approaches. The R / Bioconductor project represents an effective way to bring useful computation on high-throughput data to a broad scientific research community. These points are explored through Bioconductor packages and work flows, and by articulation of Bioconductor principles associated with reproducible research conducted in an open environment.
Clipping is a handy way to collect important slides you want to go back to later.
Clipping is a handy way to collect and organize the most important slides from a presentation. You can keep your great finds in clipboards organized around topics.
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