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» Expressiveness of Process Algebras
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BMCBI
2006
131views more  BMCBI 2006»
15 years 6 months ago
SIMAGE: simulation of DNA-microarray gene expression data
Background: Simulation of DNA-microarray data serves at least three purposes: (i) optimizing the design of an intended DNA microarray experiment, (ii) comparing existing pre-proce...
Casper J. Albers, Ritsert C. Jansen, Jan Kok, Osca...
BMCBI
2005
153views more  BMCBI 2005»
15 years 6 months ago
Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
IADIS
2003
15 years 7 months ago
A Facial Expression Analysis Component for Affective Tutoring Systems
Intelligent tutoring systems (ITS) provide individualised instruction. They offer many advantages over the traditional classroom scenario: they are always available, non-judgement...
Scott P. Overmyer, Hamid Gholam Hosseini, Chao Fan...
BMCBI
2008
142views more  BMCBI 2008»
15 years 6 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BMCBI
2008
163views more  BMCBI 2008»
15 years 6 months ago
Nuclear staining and relative distance for quantifying epidermal differentiation in biomarker expression profiling
Background: The epidermal physiology results from a complex regulated homeostasis of keratinocyte proliferation, differentiation and death and is tightly regulated by a specific p...
Thora Pommerencke, Thorsten Steinberg, Hartmut Dic...