BioinformaticsPLoS ONEPeer-reviewed
Voting-based integration algorithm improves causal network learning from interventional and observational data: an application to cell signaling network inference
Meghamala Sinha, Prasad V. Tadepalli, Stephen A. Ramsey
The paper introduces a method called 'Learn and Vote' to improve causal network learning from mixed observational and interventional data, showing it is more accurate than existing methods on larger datasets.