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BMCBI
2007
194views more  BMCBI 2007»
15 years 6 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
BMCBI
2006
133views more  BMCBI 2006»
15 years 6 months ago
Choosing negative examples for the prediction of protein-protein interactions
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
Asa Ben-Hur, William Stafford Noble
BMCBI
2005
105views more  BMCBI 2005»
15 years 6 months ago
Secondary structure assignment that accurately reflects physical and evolutionary characteristics
Background: Secondary structure is used in hierarchical classification of protein structures, identification of protein features, such as helix caps and loops, for fold recognitio...
Maria Vittoria Cubellis, Fabien Cailliez, Simon C....
BMCBI
2004
177views more  BMCBI 2004»
15 years 6 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
IACR
2011
125views more  IACR 2011»
14 years 6 months ago
On Constructing Homomorphic Encryption Schemes from Coding Theory
Abstract. Homomorphic encryption schemes are powerful cryptographic primitives that allow for a variety of applications. Consequently, a variety of proposals have been made in the ...
Frederik Armknecht, Daniel Augot, Ludovic Perret, ...