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BMCBI
2010
144views more  BMCBI 2010»
14 years 9 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
BMCBI
2007
175views more  BMCBI 2007»
14 years 9 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
BMCBI
2005
127views more  BMCBI 2005»
14 years 9 months ago
Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification
Background: Gene expression programs depend on recognition of cis elements in promoter region of target genes by transcription factors (TFs), but how TFs regulate gene expression ...
Li-Hsieh Lin, Hsiao-Ching Lee, Wen-Hsiung Li, Bor-...
TNN
2008
124views more  TNN 2008»
14 years 9 months ago
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
Aging effects, environmental changes, thermal drifts, and soft and hard faults affect physical systems by changing their nature and behavior over time. To cope with a process evolu...
Cesare Alippi, Manuel Roveri
SIGPRO
2002
92views more  SIGPRO 2002»
14 years 9 months ago
A unified method for optimizing linear image restoration filters
Image restoration from degraded images lies at the foundation of image processing, pattern recognition, and computer vision, so it has been extensively studied. A large number of ...
Masashi Sugiyama, Hidemitsu Ogawa