Changing to use the log ratio of the likelihood of the data (sum over replicates and guides per gene and cell line) as the metric for determining significant difference in gene effect between conditions. A lognormal model is used for the null distribution of likelihood ratios, with the null defined empirically by swapping condition labels as before. This allows p-values smaller than 1/len(null).
Changing to use the log ratio of the likelihood of the data (sum over replicates and guides per gene and cell line) as the metric for determining significant difference in gene effect between conditions. A lognormal model is used for the null distribution of likelihood ratios, with the null defined empirically by swapping condition labels as before. This allows p-values smaller than 1/len(null).