Network inference

The computational reconstruction of an unknown interaction topology of molecular players from high-throughput data may become the central means to advance basic biological research in the future. With novel experimental techniques such as single-cell mass cytometry, this reconstruction becomes successively less ill-posed. We are developing new machine learning methods dedicated to the particular data type at hand.

From high-throughput data to interaction graph
From high-throughput data to an interaction graph among molecular players.