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BMCBI
2011
13 years 3 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
RECOMB
2002
Springer
14 years 8 months ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
ICMCS
2005
IEEE
85views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Fast Search Method for Image Vector Quantization Based on Equal-Average Equal-Variance and Partial Sum Concept
The encoding process of image vector quantization (VQ) is very heavy due to it performing a lot of k-dimensional Euclidean distance computations. In order to speed up VQ encoding,...
Zhibin Pan, Koji Kotani, Tadahiro Ohmi
BMCBI
2008
132views more  BMCBI 2008»
13 years 8 months ago
Exon level integration of proteomics and microarray data
Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in par...
Danny A. Bitton, Michal J. Okoniewski, Yvonne Conn...
BMCBI
2006
103views more  BMCBI 2006»
13 years 8 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux