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» Kernel Methods for Revealed Preference Analysis
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BIOCOMP
2008
13 years 7 months ago
Discoveries in shRNA Design
-- To successfully apply RNAi, the very first step is to design functional siRNA or shRNA sequences targeting specific genes. Many characteristics of functional synthetic siRNAs ha...
Hong Zhou, Xiao Zeng, Joseph Manthey
ICC
2009
IEEE
146views Communications» more  ICC 2009»
13 years 3 months ago
Multi-Hop Aggregate Information Efficiency in Wireless Ad Hoc Networks
Abstract--We introduce multi-hop aggregate information efficiency (MIEA), a comprehensive metric that captures several performance-affecting factors of wireless ad hoc networks in ...
Pedro Henrique Juliano Nardelli, Giuseppe Thadeu F...
BMCBI
2008
134views more  BMCBI 2008»
13 years 5 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
PAMI
2010
192views more  PAMI 2010»
13 years 3 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
BMCBI
2007
194views more  BMCBI 2007»
13 years 5 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung