372 search results - page 23 / 75 » Biclustering of Expression Data Using Simulated Annealing |
ALIFE
2008
13 years 8 months ago
2008
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
ICCAD
2003
IEEE
14 years 5 months ago
2003
IEEE
As the size and complexity of VLSI circuits increase, the need for faster floorplanning algorithms also grows. In this work we introduce Traffic, a new method for creating wire- a...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
The efficient and effective generation of test-data from high-level models is of crucial importance in advanced modern software engineering. Empirical studies have shown that muta...
ICML
2005
IEEE
2005
IEEE
Active learning for sampling in time-series experiments with application to gene expression analysis
14 years 9 months ago
Many time-series experiments seek to estimate some signal as a continuous function of time. In this paper, we address the sampling problem for such experiments: determining which ...
BMCBI
2007
13 years 8 months ago
2007
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...