Systems and methods for modeling and analyzing networks
Abstract
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.
- Inventors:
- Issue Date:
- Research Org.:
- Gene Network Sciences, Inc. (Cambridge, MA)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1107627
- Patent Number(s):
- 8571803
- Application Number:
- 11/985,618
- Assignee:
- Gene Network Sciences, Inc. (Cambridge, MA)
- Patent Classifications (CPCs):
-
G - PHYSICS G16 - INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS G16B - BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- DOE Contract Number:
- FG02-04ER63806
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Hill, Colin C, Church, Bruce W, McDonagh, Paul D, Khalil, Iya G, Neyarapally, Thomas A, and Pitluk, Zachary W. Systems and methods for modeling and analyzing networks. United States: N. p., 2013.
Web.
Hill, Colin C, Church, Bruce W, McDonagh, Paul D, Khalil, Iya G, Neyarapally, Thomas A, & Pitluk, Zachary W. Systems and methods for modeling and analyzing networks. United States.
Hill, Colin C, Church, Bruce W, McDonagh, Paul D, Khalil, Iya G, Neyarapally, Thomas A, and Pitluk, Zachary W. Tue .
"Systems and methods for modeling and analyzing networks". United States. https://www.osti.gov/servlets/purl/1107627.
@article{osti_1107627,
title = {Systems and methods for modeling and analyzing networks},
author = {Hill, Colin C and Church, Bruce W and McDonagh, Paul D and Khalil, Iya G and Neyarapally, Thomas A and Pitluk, Zachary W},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {10}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Data-Driven Computer Simulation of Human Cancer Cell
journal, May 2004
- Christopher, R.; Dhiman, A.; Fox, J.
- Annals of the New York Academy of Sciences, Vol. 1020, Issue 1