289 search results - page 15 / 58 » Bayesian Networks Learning for Gene Expression Datasets |
100
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BMCBI
2004
14 years 9 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
ML
2008
ACM
14 years 9 months ago
2008
ACM
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
KES
2005
Springer
15 years 3 months ago
2005
Springer
Clustering for the analysis of the gene expression profiles has been used for identifying the functions of the genes and of unknown genes. Since the genes usually belong to multipl...
139
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AINA
2008
IEEE
15 years 4 months ago
2008
IEEE
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...