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» Analyzing time series gene expression data
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BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data
Background: In practice many biological time series measurements, including gene microarrays, are conducted at time points that seem to be interesting in the biologist's opin...
Miika Ahdesmäki, Harri Lähdesmäki, ...
BMCBI
2006
155views more  BMCBI 2006»
13 years 7 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
BMCBI
2010
179views more  BMCBI 2010»
13 years 2 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...
RECOMB
2009
Springer
14 years 8 months ago
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
Oliver Stegle, Katherine J. Denby, David L. Wild, ...
CSB
2003
IEEE
123views Bioinformatics» more  CSB 2003»
14 years 24 days ago
Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
Li Zhang, Aidong Zhang, Murali Ramanathan