289 search results - page 18 / 58 » Bayesian Networks Learning for Gene Expression Datasets |
82
Voted
HIS
2008
14 years 11 months ago
2008
The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
RECOMB
2004
Springer
15 years 9 months ago
2004
Springer
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
80
Voted
CMSB
2004
Springer
15 years 1 months ago
2004
Springer
We propose a robust estimation method of gene networks based on microarray gene expression data. It is well-known that microarray data contain a large amount of noise and some outl...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...