GHGA Webinar: Good statistical practice for the analysis of large biological datasets
- 17 Jan 2023
Laboratory experiments are best designed with their analysis in mind to avoid errors, noise and bias. Especially large scale or high throughput experiments often
require appropriate computational techniques and tools for analysing the data - and it is not always obvious which method to choose best.
This webinar aims to provide an overview on good statistical practice for students and researchers who are planning to perform experiments resulting in large biological datasets. We will discuss efficient workflow design, iterative analyses, data representation, computational methods and most importantly, we will address the question of “how many replicates?”.
The seminar will be given by GHGA-affiliated Principal Investigator Wolfgang Huber (Head of Group, Quantitative Biology and Statistics), based on the book “Modern Statistics for Modern Biology”, which he co-authored with Susan Holmes
The event is in English and will be held on 17 January 2023, 16:00 CET (available afterwards on demand). Attendance is free, but we ask for registration.