Detailed information about the course
Multivariate analysis for exploration and visualization of biological data [CLOSED]
13 November 2015
Caroline Betto-Colliard, Doctoral Program in Ecology and Evolution, CUSO
Dr Delphine Grun, Swiss Institute of Bioinformatics (SIB)
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).
University of Bern
Full Attendance and Active Participation
Room 80, Institute of Plant Sciences, Altenbergrain 21, 3013 Bern.
- Please verify that you have access to eduroam (or IPS-UNIBE wifi) BEFORE the beginning of the course. If not, please send me an e-mail.
PhD students of the DPEE are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class) and meals. Please send the original tickets (no copies, except for the general abonnement) and receipts with the reimbursement form to Caroline Betto-Colliard.
CUSO PhD students: through your MyCUSO account.
External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of page and the last gray box "non-CUSO student" ("personne hors myCUSO").
Priority is given to PhD students of the DPEE until September 30th, 2015.
|Deadline for registration||12.10.2015|