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» Extracting and Explaining Biological Knowledge in Microarray...
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BMCBI
2010
105views more  BMCBI 2010»
14 years 9 months ago
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems
Background: The Gene Ontology (GO) is used to describe genes and gene products from many organisms. When used for functional annotation of microarray data, GO is often slimmed by ...
Nophar Geifman, Alon Monsonego, Eitan Rubin
BMCBI
2006
116views more  BMCBI 2006»
14 years 9 months ago
JColorGrid: software for the visualization of biological measurements
Background: Two-dimensional data colourings are an effective medium by which to represent three-dimensional data in two dimensions. Such "color-grid" representations hav...
Marcin P. Joachimiak, Jennifer L. Weissman, Barnab...
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BMCBI
2007
152views more  BMCBI 2007»
14 years 9 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
BMCBI
2008
135views more  BMCBI 2008»
14 years 9 months ago
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
Huiling Xiong, Dapeng Zhang, Christopher J. Martyn...
BMCBI
2007
141views more  BMCBI 2007»
14 years 9 months ago
On the origin and evolution of biosynthetic pathways: integrating microarray data with structure and organization of the Common
Background: The lysine, threonine, and methionine biosynthetic pathways share the three initial enzymatic steps, which are referred to as the Common Pathway (CP). In Escherichia c...
Marco Fondi, Matteo Brilli, Renato Fani