2248 search results - page 24 / 450 » Using Bayesian networks to analyze expression data |
AI
2007
Springer
15 years 3 months ago
2007
Springer
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘orâ...
NECO
2002
14 years 9 months ago
2002
Many perception, reasoning, and learning problems can be expressed as Bayesian inference. We point out that formulating a problem as Bayesian inference implies specifying a probabi...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
90
Voted
WILF
2005
Springer
15 years 3 months ago
2005
Springer
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
BMCBI
2007
14 years 9 months ago
2007
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...