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PR
2007
293views more  PR 2007»
13 years 7 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
INFORMS
2010
107views more  INFORMS 2010»
13 years 6 months ago
A Class Representative Model for Pure Parsimony Haplotyping
Haplotyping estimation from aligned Single Nucleotide Polymorphism (SNP) fragments has attracted more and more attention in the recent years due to its importance in analysis of m...
Daniele Catanzaro, Alessandra Godi, Martine Labb&e...
CSFW
2011
IEEE
12 years 7 months ago
Regret Minimizing Audits: A Learning-Theoretic Basis for Privacy Protection
Abstract—Audit mechanisms are essential for privacy protection in permissive access control regimes, such as in hospitals where denying legitimate access requests can adversely a...
Jeremiah Blocki, Nicolas Christin, Anupam Datta, A...
BMCBI
2010
163views more  BMCBI 2010»
13 years 8 months ago
Integration of open access literature into the RCSB Protein Data Bank using BioLit
Background: Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been ...
Andreas Prlic, Marco A. Martinez, Dimitris Dimitro...
BMCBI
2007
151views more  BMCBI 2007»
13 years 8 months ago
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai