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BMCBI
2006
121views more  BMCBI 2006»
13 years 7 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
BMCBI
2006
173views more  BMCBI 2006»
13 years 7 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
BMCBI
2007
138views more  BMCBI 2007»
13 years 7 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
ISCI
2008
165views more  ISCI 2008»
13 years 7 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
TPDS
2008
113views more  TPDS 2008»
13 years 7 months ago
Evaluating a High-Level Parallel Language (GpH) for Computational GRIDs
Computational Grids potentially offer low cost, readily available, and large-scale high-performance platforms. For the parallel execution of programs, however, computational GRIDs ...
Abdallah Al Zain, Philip W. Trinder, Greg Michaels...