289 search results - page 19 / 58 » Bayesian Networks Learning for Gene Expression Datasets |
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
BMCBI
2005
14 years 9 months ago
2005
Background: Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to ch...
BMCBI
2005
14 years 9 months ago
2005
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
IEEEMM
2007
14 years 9 months ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
88
Voted
BMCBI
2011
14 years 1 months ago
2011
Background: A central question in cancer biology is what changes cause a healthy cell to form a tumor. Gene expression data could provide insight into this question, but it is dif...