Now showing items 1-5 of 5
Influence of network topology and data collection on network inference.
(Pac Symp Biocomput, 2003)
We recently developed an approach for testing the accuracy of network inference algorithms by applying them to biologically realistic simulations with known network topology. Here, we seek to determine the degree to which ...
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 ...
Core and region-enriched networks of behaviorally regulated genes and the singing genome.
Songbirds represent an important model organism for elucidating molecular mechanisms that link genes with complex behaviors, in part because they have discrete vocal learning circuits that have parallels with those that ...
Convergent transcriptional specializations in the brains of humans and song-learning birds.
Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential for song and speech and are not found in most other species. Comparisons of brain transcriptomes ...
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 ...