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BMCBI
2008
130views more  BMCBI 2008»
15 years 6 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
BMCBI
2007
152views more  BMCBI 2007»
15 years 6 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
NN
2006
Springer
126views Neural Networks» more  NN 2006»
15 years 6 months ago
Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron
Neurons in area V 2 and V 4 exhibit stimulus specific tuning to single stimuli, and respond at intermediate firing rates when presented with two differentially preferred stimuli (...
Jyoti Mishra, Jean-Marc Fellous, Terrence J. Sejno...
SIAMSC
2008
131views more  SIAMSC 2008»
15 years 6 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner
SCP
1998
163views more  SCP 1998»
15 years 6 months ago
Computing with Continuous Change
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat