Before we can begin to apply rigorous statistical tools to research data\, we often need to approach our data intuitively\, and look for meaningful associati ons\, surprising patterns\, or irregularities\, to formulate hypotheses. T his is Exploratory Data Analysis (EDA). This workshop introduces the essen tial tools and strategies that are available for EDA through the free stat istical workbench R. Steps covered in this workshop are broadly relevant f or many areas of modern\, quantitative biology such as flow cytometry\, ex pression profile analysis\, function prediction and more.
SUMMARY:(2019) Exploratory Analysis of Biological Data using R URL;VALUE=URI:https://bioinformatics.ca/workshops-all/2019-exploratory-anal ysis-of-biological-data-using-r/ END:VEVENT END:VCALENDAR