Reconstructing gene regulatory networks from transcriptomic data remains a challenging problem. We adapted the time-lagged Ordered Lasso, a regularized regression method with temporal monotonicity constraints, for network reconstruction from time-series gene expresson...
Inferring the structure of gene regulatory networks from high-throughput datasets remains an important and unsolved problem. We developed a semi-supervised network reconstruction algorithm that enables the synthesis of information from partially known networks with...
