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» Smoothing Gene Expression Using Biological Networks
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BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
FragViz: visualization of fragmented networks
Background: Researchers in systems biology use network visualization to summarize the results of their analysis. Such networks often include unconnected components, which popular ...
Miha Stajdohar, Minca Mramor, Blaz Zupan, Janez De...
ICIP
2009
IEEE
14 years 8 months ago
A Bio-inspired Cnn With Re-indexing Engine For Lossless Dna Microarray Compression And Segmentation
The DNA microarray images allow to analyze the natural gene expressions. In this paper we propose an advanced method to efficiently address the imaging storage as well as the perf...
BMCBI
2008
140views more  BMCBI 2008»
13 years 7 months ago
GORouter: an RDF model for providing semantic query and inference services for Gene Ontology and its associations
Background: The most renowned biological ontology, Gene Ontology (GO) is widely used for annotations of genes and gene products of different organisms. However, there are shortcom...
Qingwei Xu, Yixiang Shi, Qiang Lu, Guo-qing Zhang,...
BMCBI
2005
78views more  BMCBI 2005»
13 years 7 months ago
Correlation test to assess low-level processing of high-density oligonucleotide microarray data
Background: There are currently a number of competing techniques for low-level processing of oligonucleotide array data. The choice of technique has a profound effect on subsequen...
Alexander Ploner, Lance D. Miller, Per Hall, Jonas...