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» Unfolding of Microarray Data
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CORR
2006
Springer
93views Education» more  CORR 2006»
13 years 8 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...
BMCBI
2006
118views more  BMCBI 2006»
13 years 8 months ago
Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis
Background: Concerns are often raised about the accuracy of microarray technologies and the degree of cross-platform agreement, but there are yet no methods which can unambiguousl...
Andrew J. Holloway, Alicia Oshlack, Dileepa S. Diy...
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 28 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
BMCBI
2007
117views more  BMCBI 2007»
13 years 8 months ago
Application of a correlation correction factor in a microarray cross-platform reproducibility study
Background: Recent research examining cross-platform correlation of gene expression intensities has yielded mixed results. In this study, we demonstrate use of a correction factor...
Kellie J. Archer, Catherine I. Dumur, G. Scott Tay...
BMCBI
2008
124views more  BMCBI 2008»
13 years 8 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li