For experiments in which analyzed samples come from different classes or conditions, a common goal of statistical analysis is class comparison via hypothesis testing.
Statistical testing is performed to find peaks that are differentially abundant among different classes or conditions.
Valid statistical testing requires biological replicates in order to compare between different conditions. It should never be performed with less than 3 samples per condition.
In this vignette, we present an example class comparison workflow using Cardinal.
We begin by loading the package:
This example uses DESI spectra collected from a renal cell carcinoma (RCC) cancer dataset consisting of 8 matched pairs of human kidney tissue. Each tissue pair consists of a normal tissue sample and a cancerous tissue sample.