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» A rough set approach to multiple dataset analysis
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BMCBI
2010
105views more  BMCBI 2010»
15 years 1 months ago
Effects of scanning sensitivity and multiple scan algorithms on microarray data quality
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
Andrew Williams, Errol M. Thomson
FUIN
2006
107views more  FUIN 2006»
15 years 1 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
ESANN
2006
15 years 2 months ago
A Gaussian process latent variable model formulation of canonical correlation analysis
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
Gayle Leen, Colin Fyfe
PKDD
2010
Springer
138views Data Mining» more  PKDD 2010»
14 years 11 months ago
Constructing Nonlinear Discriminants from Multiple Data Views
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
Tom Diethe, David R. Hardoon, John Shawe-Taylor
BMCBI
2007
126views more  BMCBI 2007»
15 years 1 months ago
Multiple non-collinear TF-map alignments of promoter regions
Background: The analysis of the promoter sequence of genes with similar expression patterns is a basic tool to annotate common regulatory elements. Multiple sequence alignments ar...
Enrique Blanco, Roderic Guigó, Xavier Messe...