VORTRAG Kurt Fellenberg:



After a short overview sketching acquired data and ongoing projects in Borstel, the talk will focus on an algorithm we applied to cross-species common regulatory network inference from microarray data. It can serve, however, to maximize co-inertia (common variance) between any two (or more) quantitative data matrices (e.g. contingency tables). Affiliating both columns and rows of the tables for perfect fit, it results in a combined table (also adapting the scale), that contains only variance that was present in both. 


Ort: INB Seminarraum