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» A new approach to analyzing gene expression time series data
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BMCBI
2008
94views more  BMCBI 2008»
14 years 10 months ago
A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
Richard D. Pearson
CIBCB
2009
IEEE
14 years 11 months ago
Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
Although Ordinary Differential Equations (ODEs) have been used to model Genetic Regulatory Networks (GRNs) in many previous works, their steady-state behaviors are not well studied...
Haixin Wang, Lijun Qian, Edward R. Dougherty
BMCBI
2005
137views more  BMCBI 2005»
14 years 9 months ago
A standard curve based method for relative real time PCR data processing
Background: Currently real time PCR is the most precise method by which to measure gene expression. The method generates a large amount of raw numerical data and processing may no...
Alexey Larionov, Andreas Krause, William Miller
BMCBI
2006
120views more  BMCBI 2006»
14 years 9 months ago
The Virtual Insect Brain protocol: creating and comparing standardized neuroanatomy
Background: In the fly Drosophila melanogaster, new genetic, physiological, molecular and behavioral techniques for the functional analysis of the brain are rapidly accumulating. ...
Arnim Jenett, Johannes E. Schindelin, Martin Heise...
BMCBI
2006
110views more  BMCBI 2006»
14 years 9 months ago
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae
Background: Reverse-engineering regulatory networks is one of the central challenges for computational biology. Many techniques have been developed to accomplish this by utilizing...
Shawn Cokus, Sherri Rose, David Haynor, Niels Gr&o...