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» Evolving genetic regulatory networks for systems biology
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SAC
2008
ACM
14 years 9 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
CMA
2010
87views more  CMA 2010»
14 years 7 months ago
A modified uniformization method for the solution of the chemical master equation
The chemical master equation is considered an accurate description of general chemical systems, and especially so for modeling cell cycle and gene regulatory networks. This paper ...
Jingwei Zhang, Layne T. Watson, Yang Cao
ICML
2009
IEEE
15 years 10 months ago
Dynamic mixed membership blockmodel for evolving networks
In a dynamic social or biological environment, interactions between the underlying actors can undergo large and systematic changes. Each actor can assume multiple roles and their ...
Wenjie Fu, Le Song, Eric P. Xing
BMCBI
2006
202views more  BMCBI 2006»
14 years 9 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
SASO
2008
IEEE
15 years 4 months ago
Cells Are Plausible Targets for High-Level Spatial Languages
—High level languages greatly increase the power of a programmer at the cost of programs that consume more s than those written at a lower level of abstraction. This inefficienc...
Jacob Beal, Jonathan Bachrach