A Parallel Solution to Reverse Engineering Genetic Networks

Author(s):  
Dorothy Bollman ◽  
Edusmildo Orozco ◽  
Oscar Moreno
2003 ◽  
Vol 31 (6) ◽  
pp. 1516-1518 ◽  
Author(s):  
D. Husmeier

This paper provides a brief introduction to learning Bayesian networks from gene-expression data. The method is contrasted with other approaches to the reverse engineering of biochemical networks, and the Bayesian learning paradigm is briefly described. The article demonstrates an application to a simple synthetic toy problem and evaluates the inference performance in terms of ROC (receiver operator characteristic) curves.


Biosystems ◽  
2019 ◽  
Vol 182 ◽  
pp. 30-41
Author(s):  
Ahammed Sherief Kizhakkethil Youseph ◽  
Madhu Chetty ◽  
Gour Karmakar

2002 ◽  
Author(s):  
Eugene P. van Someren ◽  
Lodewyk F. A. Wessels ◽  
Marcel J. T. Reinders ◽  
Eric Backer

2010 ◽  
Vol 89 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Luwen Zhang ◽  
Mei Xiao ◽  
Yong Wang ◽  
Wu Zhang

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Ahsan Raja Chowdhury ◽  
Madhu Chetty ◽  
Nguyen Xuan Vinh

2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.


2004 ◽  
Vol 62 (12) ◽  
pp. 1057-1063
Author(s):  
A. V. Agranovskiy ◽  
R. E. Agafonov ◽  
R. A. Khadi

Author(s):  
Jeremiah Vanderlaan ◽  
Josh Richert ◽  
James Morrison ◽  
Thomas Doyle

We are a group of engineering students, in our first year of undergraduate study. We have been selected from one thousand first year students and have competed and won the PACE competition. All engineers share a common general first year, but we have been accepted into Civil and Mechanical engineering. This project was assigned as the final project in the Design and Graphics course. The project we are tasked with, called the Cornerstone Design Project, is to first dissect a product, discover how it works, dimension each part and create a fully assembled model using CAD software (Solid Edge V20 in our case). As part of discovering how it works we must benchmark it so the device can be compared with competing products. The goal of the project is to develop a full understanding of part modeling and assembly in Solid Edge, learn proper measurement techniques, and learn the process of reverse engineering and product dissection. All of these tasks were stepping stones to help us fully understand how the device, and all its components, work.


Sign in / Sign up

Export Citation Format

Share Document