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» Error margin analysis for feature gene extraction
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PRL
2007
98views more  PRL 2007»
14 years 9 months ago
Error probabilities for local extrema in gene expression data
Current approaches for the prediction of functional relations from gene expression data often do not have a clear methodology for extracting features and are not accompanied by a ...
Perry Groot, Christian Gilissen, Michael Egmont-Pe...
ICASSP
2009
IEEE
15 years 4 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
JCB
2008
159views more  JCB 2008»
14 years 9 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
BMCBI
2004
146views more  BMCBI 2004»
14 years 9 months ago
Multivariate search for differentially expressed gene combinations
Background: To identify differentially expressed genes, it is standard practice to test a twosample hypothesis for each gene with a proper adjustment for multiple testing. Such te...
Yuanhui Xiao, Robert D. Frisina, Alexander Gordon,...
ICIP
2005
IEEE
15 years 3 months ago
Combination of multiple extraction algorithms in the detection of facial features
Automated analysis of facial images for the estimation of the displayed expression is essential in the design of intuitive and accessible human computer interaction systems. In ex...
Spiros Ioannou, Manolis Wallace, Kostas Karpouzis,...