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DAGM
2010
Springer
15 years 2 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
BMCBI
2008
126views more  BMCBI 2008»
15 years 1 months ago
Methods for evaluating gene expression from Affymetrix microarray datasets
Background: Affymetrix high density oligonucleotide expression arrays are widely used across all fields of biological research for measuring genome-wide gene expression. An import...
Ning Jiang, Lindsey J. Leach, Xiaohua Hu, Elena Po...
138
Voted
BMCBI
2006
153views more  BMCBI 2006»
15 years 1 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
BMCBI
2007
101views more  BMCBI 2007»
15 years 1 months ago
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
Frank Kose, Jan Budczies, Matthias Holschneider, O...
146
Voted
CONCURRENCY
2000
123views more  CONCURRENCY 2000»
15 years 1 months ago
A mobile agent based push methodology for global parallel computing
The 1990s are seeing the explosive growth of the Internet and Web-based information sharing and dissemination systems. The Internet is also showing a potential of forming of a sup...
Cheng-Zhong Xu, Brian Wims