Systems and methods for modeling and analyzing networks
Patent
·
OSTI ID:1107627
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.
- Research Organization:
- Gene Network Sciences, Inc. (Cambridge, MA)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- FG02-04ER63806
- Assignee:
- Gene Network Sciences, Inc. (Cambridge, MA)
- Patent Number(s):
- 8,571,803
- Application Number:
- 11/985,618
- OSTI ID:
- 1107627
- Country of Publication:
- United States
- Language:
- English
Data-Driven Computer Simulation of Human Cancer Cell
|
journal | May 2004 |
Similar Records
Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk
Differential mGluR5 expression in response to the same stress causes individually adapted hippocampal network activity
Use of model calibration to achieve high accuracy in analysis of computer networks
Journal Article
·
Fri May 15 00:00:00 EDT 2015
· Medical Physics
·
OSTI ID:1107627
+7 more
Differential mGluR5 expression in response to the same stress causes individually adapted hippocampal network activity
Journal Article
·
Mon Jan 15 00:00:00 EST 2018
· Biochemical and Biophysical Research Communications
·
OSTI ID:1107627
Use of model calibration to achieve high accuracy in analysis of computer networks
Patent
·
Tue May 11 00:00:00 EDT 2004
·
OSTI ID:1107627