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» Combined Gene Selection Methods for Microarray Data Analysis
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PRL
2000
182views more  PRL 2000»
14 years 11 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
BMCBI
2008
135views more  BMCBI 2008»
14 years 11 months ago
Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles
Background: DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-sca...
Hailong Meng, Edward Lenn Murrelle, Guoya Li
78
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BMCBI
2010
165views more  BMCBI 2010»
14 years 11 months ago
Multivariate meta-analysis of proteomics data from human prostate and colon tumours
Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of met...
Lina Hultin Rosenberg, Bo Franzén, Gert Aue...
GCB
2007
Springer
161views Biometrics» more  GCB 2007»
15 years 5 months ago
High-Precision Function Prediction using Conserved Interactions
: The recent availability of large data sets of protein- protein-interactions (PPIs) from various species offers new opportunities for functional genomics and proteomics. We descri...
Samira Jaeger, Ulf Leser
BMCBI
2007
123views more  BMCBI 2007»
14 years 11 months ago
PedGenie: meta genetic association testing in mixed family and case-control designs
Background-: PedGenie software, introduced in 2006, includes genetic association testing of cases and controls that may be independent or related (nuclear families or extended ped...
Karen Curtin, Jathine Wong, Kristina Allen-Brady, ...