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BMCBI
2007
117views more  BMCBI 2007»
14 years 12 months ago
Supervised multivariate analysis of sequence groups to identify specificity determining residues
Background: Proteins that evolve from a common ancestor can change functionality over time, and it is important to be able identify residues that cause this change. In this paper ...
Iain M. Wallace, Desmond G. Higgins
SADM
2010
141views more  SADM 2010»
14 years 6 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
BMCBI
2006
122views more  BMCBI 2006»
14 years 11 months ago
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
APVIS
2007
15 years 1 months ago
GraphScape: integrated multivariate network visualization
In this paper, we introduce a new method, GraphScape, to visualize multivariate networks, i.e., graphs with multivariate data associated with their nodes. GraphScape adopts a land...
Kai Xu 0003, Andrew Cunningham, Seok-Hee Hong, Bru...
EUROCRYPT
2008
Springer
15 years 1 months ago
Key Recovery on Hidden Monomial Multivariate Schemes
Abstract. The problem we study in this paper is the key recovery problem on the C schemes and generalizations where the quadratic monomial of C (the product of two linear monomials...
Pierre-Alain Fouque, Gilles Macario-Rat, Jacques S...