Selventa, Inc.

David Drubin

Ty Matthew Thomson

Dmitry Vasilyev

Dexter Roydon Pratt

Brian Frushour

Scores for particular network models (those having a source node connected to a set of measurable downstream nodes via causal edges) are computed across multiple networks by accounting for an overlap between these models in a manner that reduces cross-network redundancy and increases the specificity of the network models for the network in which they are found. According to another aspect, a meta-network model is created for networks by accounting for the occurrence of network models that are found in multiple networks in a manner that reduces the redundancy across networks and that increases the specificity of the network model score. Preferably, this process provides additional weighting factors for each node in the network model.

Quantitative assessment of biological impact using overlap methods

To directly compare two or more network perturbation amplitude scores and identify whether the difference between them is meaningful, an Uncertainty (confidence interval) for each of the scores is computed. According to this disclosure, experimental replicates of the measurements are used to compute the score Uncertainty, based on an assumption that variability between measurement replicates represents a largest source of error in the score. Preferably, at least three (3) experimental replicates for both treated and control conditions are used to compute Uncertainty.

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Cambridge, MA, United States of America

David Drubin