Summary
In this chapter, we learned how to implement code for practice exercises regarding studies in different biological and biostatistical fields. We learned how to implement PCA to reduce the dimensionality of biological datasets and how to interpret PCA results.
In one of the exercises, we learned how to identify and quantify latent variables and interpret the results of SEMs or Structural Equation Models using semopy in Python.
I hope you enjoyed this journey and that it inspires you to walk further on the path of Biostatistics and Python programming, a combination of the future.
