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CSB
2002
IEEE
103views Bioinformatics» more  CSB 2002»
13 years 9 months ago
A Maximum Entropy Algorithm for Rhythmic Analysis of Genome-Wide Expression Patterns
Christopher James Langmead, C. Robertson McClung, ...
RECOMB
2002
Springer
14 years 5 months ago
Phase-independent rhythmic analysis of genome-wide expression patterns
We introduce a model-based analysis technique for extracting and characterizing rhythmic expression pro les from genome-wide DNA microarray hybridization data. These patterns are ...
Christopher James Langmead, Anthony K. Yan, C. Rob...
BMCBI
2010
115views more  BMCBI 2010»
13 years 4 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
EVOW
2005
Springer
13 years 10 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
BMCBI
2005
151views more  BMCBI 2005»
13 years 4 months ago
stam - a Bioconductor compliant R package for structured analysis of microarray data
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
Claudio Lottaz, Rainer Spang