Sem Best Shortest Paths for the Characterization of Differentially Expressed Genes

摘要: In the last years, systems and computational biology focused their efforts in uncovering causal relationships among observable perturbations of gene regulatory networks human diseases. This problem becomes even more challenging when network models algorithms have to take into account slightly significant effects, caused by often peripheral or unknown genes that cooperatively cause observed diseased phenotype. Many solutions, from community pathway analysis information flow simulation, been proposed, with aim reproducing biological cascades, directly empirical data as expression microarray data. this contribute, we propose a methodology evaluate most important shortest paths between differentially expressed interaction networks, absolutely no need user-defined parameters heuristic rules, enabling free-of-bias discovery overcoming common issues affecting recent network-based algorithms.