524 search results - page 28 / 105 » Representing Experimental Biological Data in Metabolic Netwo... |
BIRD
2007
Springer
14 years 15 days ago
2007
Springer
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective ...
IWANN
2009
Springer
14 years 3 months ago
2009
Springer
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
BMCBI
2007
13 years 8 months ago
2007
Background: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific so...
RECOMB
2010
Springer
14 years 3 months ago
2010
Springer
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
NIPS
2000
13 years 10 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....