Is the BAGEL algorithm used for arrayed CRISPR screens?
No. BAGEL (Bayesian Analysis of Gene EssentiaLity) is a supervised learning method for analyzing pooled library gene knockout screens. It offers significantly greater sensitivity than current methods, while computational optimizations reduce runtime by an order of magnitude.