289 search results - page 27 / 58 » Bayesian Networks Learning for Gene Expression Datasets |
BMCBI
2010
14 years 9 months ago
2010
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
BMCBI
2010
14 years 9 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
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CLEIEJ
2007
14 years 9 months ago
2007
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
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...