A proposal for using the ensemble approach to understand genetic regulatory networks

S Kauffman - Journal of theoretical biology, 2004 - Elsevier
Understanding the genetic regulatory network comprising genes, RNA, proteins and the
network connections and dynamical control rules among them, is a major task of …

Dynamics of three-state excitable units on Poisson vs. power-law random networks

AR Carvunis, M Latapy, A Lesne, C Magnien… - Physica A: Statistical …, 2006 - Elsevier
The influence of the network topology on the dynamics of systems of coupled excitable units
is studied numerically and demonstrates a lower dynamical variability for power-law …

Design and deployment of visible-thermal biometric surveillance systems

DA Socolinsky - 2007 IEEE Conference on Computer Vision …, 2007 - ieeexplore.ieee.org
Automatic video surveillance in uncontrolled outdoor settings is a very challenging computer
vision task. Nearly infinite variability of the environmental factors and the open-ended goals …

[PDF][PDF] A bibliography on learning causal networks of gene interactions

F Markowetz - Available on-line at http://www. molgen. mpg. de …, 2007 - Citeseer
Of course, this collection is far from complete. If you find any errors or typos, or if you know
any article I have missed and which should be included here, please mail the BibTeX entry …

[图书][B] Node Influence in Network-Based Discrete Dynamical Systems

T Parmer - 2023 - search.proquest.com
Many complex systems can be modeled as network-based discrete dynamical systems,
where individual nodes (representing some variable of interest) are connected by edges that …

[PDF][PDF] Experimental comparison of symbolic learning programs for the classification of gene network topology models

AD Lattner, S Kim, G Cervone… - Center for Computing …, 2003 - kde.cs.uni-kassel.de
This study addresses the problem of identifying the large-scale topology of gene regulation
networks from features that can be derived from microarray data sets. Understanding large …

Inference of large-scale structural features of gene regulation networks using genetic algorithms

VA Nguyen, AY Zomaya - 2008 IEEE International Symposium …, 2008 - ieeexplore.ieee.org
Considerable attempts have been made to develop models and learning strategies to infer
gene networks starting from single connections. However, due to noise and other difficulties …

Learning causal networks from gene expression data

N Ahsan - 2006 - unsworks.unsw.edu.au
dc. description. abstract In this thesis we present a new model for identifying dependencies
within a gene regulatory cycle. The model incorporates both probabilistic and temporal …