Answer / rajalingam

We have developed an approach using Bayesian networks to
predict protein-protein interactions genome-wide in yeast.
Our method naturally weights and combines into reliable
predictions genomic features only weakly associated with
interaction (e.g., messenger RNAcoexpression,
coessentiality, and colocalization). In addition to de novo
predictions, it can integrate often noisy, experimental
interaction data sets. We observe that at given levels of
sensitivity, our predictions are more accurate than the
existing high-throughput experimental data sets

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