Stem cell research examines everything from gene expression to differentiation capacities to therapeutic potentials. With such diverse data types and complex experiments, researchers must determine the most appropriate statistical tests to analyze results. Parametric and nonparametric methods both play essential roles in stem cell data analysis. Parametric tests make assumptions about population parameters and rely on normally distributed data. Tests …
