Visualization modules

Set of python classes and functions to enable visualizing CRISPR screening datasets.

---

screenpro.plotting.qc_plots.plotCountDistribution(ax, adat, title, **args)

screenpro.plotting.qc_plots.plotReplicateScatter(ax, adat_in, x, y, title, min_val=None, max_val=None, log_transform=True, **args)

screenpro.plotting.pheno_plots.label_as_black(ax, df_in, label, x_col='score', y_col='-log10(pvalue)', size=2, size_txt='auto', t_x=0.5, t_y=-0.1, **args)

screenpro.plotting.pheno_plots.label_by_color(ax, df_in, label, x_col, y_col, size=2, size_txt='auto', edgecolors='black', facecolors='black', textcolor='black', t_x=0.5, t_y=-0.1, **args)

screenpro.plotting.pheno_plots.label_resistance_hit(ax, df_in, label, x_col='score', y_col='-log10(pvalue)', size=2, size_txt='auto', t_x=0.5, t_y=-0.1, **args)

screenpro.plotting.pheno_plots.label_sensitivity_hit(ax, df_in, label, x_col='score', y_col='-log10(pvalue)', size=2, size_txt='auto', t_x=0.5, t_y=-0.1, **args)

screenpro.plotting.pheno_plots.volcano_plot(ax, df, up_hit, down_hit, score_col='score', pvalue_col='pvalue', xlabel='phenotype score', ylabel='-log10(pvalue)', dot_size=1, xlims='auto', ylims='auto', ctrl_label='negative_control', **args)

class screenpro.dashboard.DataDashboard

Bases: object

class screenpro.dashboard.DrugScreenDashboard(screen, treated, untreated, t0='T0', threshold=3, ctrl_label='negative_control', run_name='auto')

Bases: DataDashboard

GammaVolcanoPlot(x_source='gamma_score', y_source='-log10(gamma_pvalue)', xaxis_label='phenotype score', yaxis_label='-log10(p-value)', up_hit='up_hit', down_hit='essential_hit', hit_label_col='gamma_label', x_min=-2.5, x_max=2.5, y_min=0, y_max='auto', return_html=True, **kwargs)

RhoGammaScatter(x_source='rho_score', y_source='gamma_score', xaxis_label='rho score', yaxis_label='gamma score', up_hit='resistance_hit', down_hit='sensitivity_hit', hit_label_col='rho_label', return_html=True, x_min=-2.5, x_max=2.5, y_min=-2.5, y_max=2.5, **kwargs)

RhoVolcanoPlot(x_source='rho_score', y_source='-log10(rho_pvalue)', xaxis_label='phenotype score', yaxis_label='-log10(p-value)', up_hit='resistance_hit', down_hit='sensitivity_hit', hit_label_col='rho_label', x_min=-2.5, x_max=2.5, y_min=0, y_max='auto', return_html=True, **kwargs)