Sciweavers

481 search results - page 4 / 97
» Parameter estimation for Boolean models of biological networ...
Sort
View
BMCBI
2007
215views more  BMCBI 2007»
14 years 9 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
BMCBI
2007
110views more  BMCBI 2007»
14 years 9 months ago
Analysis of feedback loops and robustness in network evolution based on Boolean models
Background: Many biological networks such as protein-protein interaction networks, signaling networks, and metabolic networks have topological characteristics of a scale-free degr...
Yung-Keun Kwon, Kwang-Hyun Cho
69
Voted
ICRA
2009
IEEE
129views Robotics» more  ICRA 2009»
15 years 4 months ago
Novel parameter estimation schemes in microsystems
— This paper presents two novel estimation methods that are designed to enhance our ability of observing, positioning, and physically transforming the objects and/or biological s...
Hakan Bilen, Muhammet A. Hocaoglu, Eray A. Baran, ...
IJBRA
2006
107views more  IJBRA 2006»
14 years 9 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky
JCB
2006
185views more  JCB 2006»
14 years 9 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson