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» Time Series Prediction Based on Gene Expression Programming
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BMCBI
2007
197views more  BMCBI 2007»
14 years 12 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
BMCBI
2007
148views more  BMCBI 2007»
14 years 11 months ago
fREDUCE: Detection of degenerate regulatory elements using correlation with expression
Background: The precision of transcriptional regulation is made possible by the specificity of physical interactions between transcription factors and their cognate binding sites ...
Randy Z. Wu, Christina Chaivorapol, Jiashun Zheng,...
BMCBI
2010
172views more  BMCBI 2010»
14 years 12 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
102
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BMCBI
2002
99views more  BMCBI 2002»
14 years 11 months ago
FunSpec: a web-based cluster interpreter for yeast
Background: For effective exposition of biological information, especially with regard to analysis of large-scale data types, researchers need immediate access to multiple categor...
Mark D. Robinson, Jörg Grigull, Naveed Mohamm...
84
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BMCBI
2006
130views more  BMCBI 2006»
14 years 11 months ago
MicroTar: predicting microRNA targets from RNA duplexes
Background: The accurate prediction of a comprehensive set of messenger RNAs (targets) regulated by animal microRNAs (miRNAs) remains an open problem. In particular, the predictio...
Rahul Thadani, Martti T. Tammi