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Title: Systems and methods for modeling and analyzing networks

The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity.
Authors:
; ; ; ; ;
Publication Date:
OSTI Identifier:
1107627
Report Number(s):
8,571,803
11/985,618
DOE Contract Number:
FG02-04ER63806
Resource Type:
Patent
Research Org:
Gene Network Sciences, Inc. (Cambridge, MA)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING