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» Analyzing time series gene expression data
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BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
GLOBECOM
2006
IEEE
14 years 1 months ago
An Empirical Study on Statistical Properties of GSM Telephone Call Arrivals
 We investigate the statistical properties of both originated and terminated call arrivals in sets of real GSM telephone traffic data (TIM, Italy), emphasizing results obtained ...
Stefano Bregni, Roberto Cioffi, Maurizio Decina
IPPS
2007
IEEE
14 years 1 months ago
RNAVLab: A unified environment for computational RNA structure analysis based on grid computing technology
Ribonucleic acid (RNA) molecules play important roles in many biological processes including gene expression and regulation. An RNA molecule is a linear polymer which folds back o...
Michela Taufer, Ming-Ying Leung, Kyle L. Johnson, ...
BMCBI
2006
181views more  BMCBI 2006»
13 years 7 months ago
Automatic pathway building in biological association networks
Background: Scientific literature is a source of the most reliable and comprehensive knowledge about molecular interaction networks. Formalization of this knowledge is necessary f...
Anton Yuryev, Zufar Mulyukov, Ekaterina Kotelnikov...
BMCBI
2008
129views more  BMCBI 2008»
13 years 7 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer