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157
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EMO
2005
Springer
108views Optimization» more  EMO 2005»
15 years 11 months ago
Multi-objective Model Optimization for Inferring Gene Regulatory Networks
With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological proc...
Christian Spieth, Felix Streichert, Nora Speer, An...
154
Voted
GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
15 years 11 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba
BMCBI
2007
168views more  BMCBI 2007»
15 years 5 months ago
Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks
Background: Uncovering cellular roles of a protein is a task of tremendous importance and complexity that requires dedicated experimental work as well as often sophisticated data ...
Nikolai Daraselia, Anton Yuryev, Sergei Egorov, Il...
JCNS
2000
120views more  JCNS 2000»
15 years 5 months ago
Robust Spectrotemporal Reverse Correlation for the Auditory System: Optimizing Stimulus Design
Abstract. The spectrotemporal receptive field (STRF) is a functional descriptor of the linear processing of timevarying acoustic spectra by the auditory system. By cross-correlatin...
David J. Klein, Didier A. Depireux, Jonathan Z. Si...
CVIU
2004
132views more  CVIU 2004»
15 years 5 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz