CRISPR Screen and Gene Expression Differential Analysis
Calculating a significance score of a gene based on the corresponding ...
Calculating gene-level log fold ratios
Calculating gene level p-values using modified robust rank aggregation...
2D density contour plot of gene log2 fold ratios against gene expressi...
Fitting multi-component normal mixture models by R package mixtools
Generating the null distribution of the significance score of a gene.
Median normalization of sgRNA counts
Performing empirical Bayes modeling on limma results
Modeling CRISPR data with a permutation test between conditions by R p...
Prepare data for density plot and ridge plot
Density ridgeline plot of gene expression levels for different FDR gro...
Modeling CRISPR screen data by R package limma
Scatter plot of log2 fold ratios against gene expression levels
Provides analytical methods for analyzing CRISPR screen data at different levels of gene expression. Multi-component normal mixture models and EM algorithms are used for modeling.