Package: CytoProfile 0.2.4

Installation and Dependencies | Required Bioconductor package | Installing CytoProfile | Package loading | 1. Data Loading and Format Requirements | Input data format | 2. Exploratory Data Analysis | 2.1 Boxplots - cyt_bp() | 2.2 Violin Plots - cyt_violin() | 2.3 Skewness and Kurtosis - cyt_skku() | 2.4 Error Bar Plots - cyt_errbp() | 3. Univariate Analysis | 3.1 Two-group comparisons - cyt_univariate() | 3.2 Multi-group comparisons - cyt_univariate_multi() | 4. Statistical Visualizations | 4.1 Volcano Plot - cyt_volc() | 4.2 Heatmap - cyt_heatmap() | 4.3 Dual-Flashlight Plot - cyt_dualflashplot() | 5. Multivariate Analysis | 5.1 Principal Component Analysis - cyt_pca() | 5.2 Sparse PLS-DA - cyt_splsda() | 5.3 MINT sPLS-DA - cyt_mint_splsda() | 6. Machine Learning Models | 6.1 XGBoost Classification - cyt_xgb() | 6.2 Random Forest Classification - cyt_rf() | 7. Saving Plots and Exporting Results | Saving plots from individual functions | Saving plots from multivariate functions using cyt_export() | Modifying returned plots | 8. Recommended Analysis Workflow | Session Information