Descriptive Statistics of Data: Understanding the Data Set and Phenotypes of Interest

A good understanding of the design of an experiment and the observational data that have been collected as part of the experiment is a key pre-requisite for correct and meaningful preparation of field data for further analysis. In this chapter, I provide a guideline of how an understanding of the field data can be gained, preparation steps that arise as a consequence of the experimental or data structure, and how to fit a linear model to extract data for further analysis.
Source: Springer protocols feed by Bioinformatics - Category: Bioinformatics Source Type: news