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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
2005
154views more  BMCBI 2005»
13 years 7 months ago
GObar: A Gene Ontology based analysis and visualization tool for gene sets
Background: Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such ...
Jason S. M. Lee, Gurpreet Katari, Ravi Sachidanand...
JASIS
2007
128views more  JASIS 2007»
13 years 7 months ago
The changing nature of information work in museums
This paper presents results from twenty-one semi-structured interviews with museum information professionals (MIPs) who were asked about their experiences working with information...
Paul F. Marty
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
"Harshlighting" small blemishes on microarrays
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings...
Mayte Suárez-Fariñas, Asifa Haider, ...
TKDE
2008
125views more  TKDE 2008»
13 years 7 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
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