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» Mining Gene Expression Data using Domain Knowledge
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BMCBI
2008
138views more  BMCBI 2008»
14 years 12 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
CIKM
2010
Springer
14 years 10 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
NAR
2011
195views Computer Vision» more  NAR 2011»
14 years 2 months ago
MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
Mitochondria constitute complex and flexible cellular entities, which play crucial roles in normal and pathological cell conditions. The database MitoGenesisDB focuses on the dyna...
Jean-Christophe Gelly, Mickael Orgeur, Claude Jacq...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 1 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
IMSCCS
2006
IEEE
15 years 5 months ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang