Fig. 5: Screens for genes and lncRNAs.
From: Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches
a The number of statistically significant genes and lncRNAs using different FDR cutoff, using either no negative control guides or using guides targeting non-essential genes (“non-essential control”) as negative controls. b Top negatively selected lncRNAs, identified from the MAGeCK algorithm. c The distribution of Robust Rank Aggregation (RRA) scores, measured in the screen, of lncRNAs with high (or low) expressions in A375 cells. n = 89 lncRNAs. The two-sided independent t-test is used for analysis. d The RRA scores of lncRNAs across two different cell lines. Two lncRNAs that showed distinct phenotype in two cell lines (CD27-AS1 and CYTOR) are marked. Error band shows the 95% confidence interval for the regression estimate. The p-value is two-sided and calculated by a test of the null hypothesis that the distributions underlying the samples are uncorrelated and normally distributed. PCC: Pearson Correlation Coefficient. The top, mid-line, and bottom of the boxplot (c) represents the upper quartile (Q3), median, and lower quartile (Q1), respectively. The ends of the whiskers represent the minimum and maximum values in the data set.
