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BMCBI
2007
138views more  BMCBI 2007»
13 years 4 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...
TC
1998
13 years 5 months ago
Propagating Integrity Information among Interrelated Databases
Data integrity policies often require that quality and integrity metadata be generated and communicated to potential users. However, in data warehouses, federations, and other mul...
Arnon Rosenthal, Edward Sciore
DCC
2007
IEEE
14 years 4 months ago
Spatial Sparsity Induced Temporal Prediction for Hybrid Video Compression
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
Gang Hua, Onur G. Guleryuz
MICCAI
2010
Springer
13 years 3 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
BMCBI
2006
108views more  BMCBI 2006»
13 years 4 months ago
NOXclass: prediction of protein-protein interaction types
Background: Structural models determined by X-ray crystallography play a central role in understanding protein-protein interactions at the molecular level. Interpretation of these...
Hongbo Zhu, Francisco S. Domingues, Ingolf Sommer,...