Course TopicsAcross all disciplines, the ability to test theories by experimentation is vital for validation and discovery. When designing an experiment, the researcher hopes to maximize the obtained ...

In analysis of variance, experiments are so designed, or observations are so collected, that the data permit separation of the total variability into its parts. By comparing the separate variances, it ...

This protocol describes how to set up arrayed and pooled CRISPR genome-editing experiments. It describes the design of sgRNAs using CRISPOR, the wet-lab implementations, and analysis of the ...

The experiment consists of a set of model runs; the design of the experiment specifies the choice of program inputs for each run. This paper demonstrates two applications of a Bayesian method for the ...