142 search results - page 17 / 29 » A new approach to analyzing gene expression time series data |
BMCBI
2006
14 years 12 months ago
2006
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
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BMCBI
2010
14 years 12 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
ICML
2007
IEEE
16 years 19 days ago
2007
IEEE
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
ER
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. It has been well recognized that online analytical processing (OLAP) can provide important insights into huge archives of data. While the conventional OLAP model is capab...
CSB
2004
IEEE
15 years 3 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...