Multivariate analysis for visualization and exploration of biological data
Lausanne, 9 December 2014
Multivariate data sets are prevalent in many biological research fields, and they are often approached from an exploratory perspective, with the aim of generating new and potentially relevant hypotheses and reveal previously unknown structure and patterns. An initial exploratory analysis can also be helpful for detecting anomalies in the measured data. Having a graphical representation of the data is very useful for such exploratory analysis. However, since the human brain is essentially limited to interpreting at most three-dimensional graphical representations, efficient summarization methods must be applied before a high-dimensional data set can be visually explored.
In this workshop, we will discuss some of the most common methods for summarizing and creating graphical representations of multivariate data, such as principal component analysis (PCA), multidimensional scaling (MDS) and correspondence analysis (CA).
Skill requirements: basic knowledge of R
Computer requirements: laptop with R installed
Application is closed. The course is full.
The registration fees for academics are 50 CHF. This includes course content material and coffee breaks.Participants from non-academic institutions should contact us before application.
Deadline for registration and cancellation is set to the 2nd of December 2014.
Genopode Building, room 2020
The course will be taught by Charlotte Soneson, PhD.
This course does not provide ECTS credits.
You are welcome to register to the SIB courses mailing-list to be informed of all future courses and workshops, as well as all important deadlines using the form here.