Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis

no code implementations • 9 Jul 2013 • Diane Oyen, Alexandru Niculescu-Mizil, Rachel Ostroff, Alex Stewart, Vincent P. Clark

We then show that by imposing a bias towards learning similar dependency networks for each condition the false discovery rates can be reduced to acceptable levels, at the cost of finding a reduced number of differences.

Transfer Learning