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» Classification of microarray data using gene networks
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144
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BMCBI
2007
198views more  BMCBI 2007»
15 years 3 months ago
Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
Nicola Neretti, Daniel Remondini, Marc Tatar, John...
BMCBI
2008
140views more  BMCBI 2008»
15 years 3 months ago
FUNYBASE: a FUNgal phYlogenomic dataBASE
Background: The increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
Sylvain Marthey, Gabriela Aguileta, Françoi...
132
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ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
15 years 7 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
BMCBI
2008
121views more  BMCBI 2008»
15 years 3 months ago
Modularization of biochemical networks based on classification of Petri net t-invariants
Background: Structural analysis of biochemical networks is a growing field in bioinformatics and systems biology. The availability of an increasing amount of biological data from ...
Eva Grafahrend-Belau, Falk Schreiber, Monika Heine...
133
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IDA
2002
Springer
15 years 3 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last