Introduction | Example data | Parallel processing | Pre-treatment elements | Removal of samples, classes or features | Keeping samples, classes or features | Feature filtering based on occupancy | Data transformation | Sample aggregation | Batch/block correction | Imputation of missing data | Feature filtering based on quality control (QC) samples | Routine analyses

Introduction | Computational requirements and parallel processing | Input data | Parameters | Assignment | Results

Introduction | Example data | Parallel processing | Random Forest | Unsupervised | Classification | Multinomial comparisons | Binary comparisons | Regression | Univariate analyses | Welch's t-test | ANOVA | Linear regression | Routine analyses

Introduction | Parallel Processing | Infusion Scan Detection | Simple Intensity Matrix Production - quick FIE-HRMS matrix investigations | binneRlyse - metabolomics fingerprinting experiments | Basic Usage | Sample information | Parameters | Processing | Data Extraction | Bin Metrics | Purity | Centrality

Parallel processing | Exploratory analyses | Analysis data | Sample information | Keeping / removing samples or features | Routine analyses | Analysis parameters | Programatic specification | YAML specification | Performing an analysis | Performing a re-analysis | Extracting analysis results

Introduction | Example Data | Index generation | Data preparation | Tree size descriptor adjustment | Additional descriptors calculation | Random forest model fitting | Index calculation | Descriptor contributions | References