Articles
Loading and Wrangling
- Loading and Wrangling 'SomaScan'
How to load and manipulate a ‘SomaScan’ flat text file into and R environment.
- Safely Map Values via dplyr::left_join()
How to safely and reliably map variable between data frame columns.
- Safely Rename Data Frames
How to safely and reliably rename variable names of a data frame (or
soma_adat) in R.- Common train-test data setups
Simple code syntax for common machine learning (ML) training vs test setups in R.
Command Line Merge Tool
- Command Line Merge Tool
A convenient CLI merge tool to add new clinical data to ‘SomaScan’ data.
Lifting and Bridging
- Lifting and Bridging SomaScan
A primer on lifting and bridging ‘SomaScan’ data.
Pre-Processing
- Pre-Processing SomaScan
A primer on pre-processing ‘SomaScan’ data for analysis, including filtering samples and features, data QC, and transformations.
Statistical Workflow Examples
- Binary Classification
Typical binary classification of ‘SomaScan’ data.
- Linear Regression
Typical linear regression of continuous ‘SomaScan’ data.
- ANOVA Three-Group Analysis
Typical > 2-group comparison of ‘SomaScan’ data.
- Two-Group Comparison
Typical 2-group comparison of ‘SomaScan’ data.