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» Model Based Importance Analysis for Minimal Cut Sets
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162
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BMCBI
2005
201views more  BMCBI 2005»
15 years 1 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
BMCBI
2006
123views more  BMCBI 2006»
15 years 1 months ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
ERCIMDL
2010
Springer
162views Education» more  ERCIMDL 2010»
15 years 3 months ago
Citation Graph Based Ranking in Invenio
Invenio is the web-based integrated digital library system developed at CERN. Within this framework, we present four types of ranking models based on the citation graph that comple...
Ludmila Marian, Jean-Yves LeMeur, Martin Rajman, M...
GLOBECOM
2009
IEEE
15 years 5 months ago
Anomaly-Based Identification of Large-Scale Attacks
Abstract--Large-scale attacks like Distributed Denial-ofService (DDoS) attacks still pose unpredictable threats to the Internet infrastructure and Internet-based business. Thus, ma...
Thomas Gamer
137
Voted
ICCV
2005
IEEE
16 years 3 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah