Now showing items 1-2 of 2
Advances to Bayesian network inference for generating causal networks from observational biological data.
MOTIVATION: Network inference algorithms are powerful computational tools for identifying putative causal interactions among variables from observational data. Bayesian network inference algorithms hold particular promise ...
Evaluating functional network inference using simulations of complex biological systems.
MOTIVATION: Although many network inference algorithms have been presented in the bioinformatics literature, no suitable approach has been formulated for evaluating their effectiveness at recovering models of complex biological ...