Data Fusion Tutorial at the [BC]^2

We are excited to host a three-hour tutorial on data fusion at the Basel Computational Biology Conference. To this end we have prepared a series of short lectures notes that accompany the recently developed Data Fusion Add-on for Orange.


We design the tutorial for data mining researchers and molecular biologists with interest in large-scale data integration. In the tutorial we focus on collective latent factor models, a popular class of approaches for data fusion. We demonstrate the effectiveness of these approaches on several hands-on case studies from recommendation systems and molecular biology.

This is a high-risk event. I mean, for us, lecturers. Ok, no bricks will probably fall down. But, in the part of the tutorial, this is the first time we are showing Orange’s data fusion add-on. And not just showing: part of the tutorial is a hands-on session.

We would like to acknowledge Biolab members for pushing the widgets through the development pipeline under extreme time constraints. Special thanks to Anze, Ales, Jernej, Andrej, Marko, Aleksandar and all other members of the lab.

This post was contributed by Marinka and Blaz.