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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2008
135views more  BMCBI 2008»
13 years 11 months ago
Ab-origin: an enhanced tool to identify the sourcing gene segments in germline for rearranged antibodies
Background: In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segment...
Xiaojing Wang, Di Wu, SiYuan Zheng, Jing Sun, Lin ...
SEMWEB
2005
Springer
14 years 4 months ago
Gnowsis Adapter Framework: Treating Structured Data Sources as Virtual RDF Graphs
The integration of heterogenous data sources is a crucial step for the upcoming semantic web – if existing information is not integrated, where will the data come from that the s...
Leo Sauermann, Sven Schwarz
BMCBI
2004
106views more  BMCBI 2004»
13 years 11 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
BMCBI
2010
124views more  BMCBI 2010»
13 years 11 months ago
Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: Transcriptional dynamics and regu
Background: Comprehensively understanding corticosteroid pharmacogenomic effects is an essential step towards an insight into the underlying molecular mechanisms for both benefici...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
CSB
2003
IEEE
123views Bioinformatics» more  CSB 2003»
14 years 4 months ago
Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
Li Zhang, Aidong Zhang, Murali Ramanathan