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» Gene-set approach for expression pattern analysis
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87
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BMCBI
2006
155views more  BMCBI 2006»
14 years 9 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund
76
Voted
BMCBI
2006
134views more  BMCBI 2006»
14 years 9 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
RECOMB
2002
Springer
15 years 10 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
BMCBI
2007
198views more  BMCBI 2007»
14 years 9 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
2010
179views more  BMCBI 2010»
14 years 4 months ago
Circadian signatures in rat liver: from gene expression to pathways
Background: Circadian rhythms are 24 hour oscillations in many behavioural, physiological, cellular and molecular processes that are controlled by an endogenous clock which is ent...
Meric A. Ovacik, Siddharth Sukumaran, Richard R. A...