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» Detecting microRNA activity from gene expression data
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BMCBI
2010
181views more  BMCBI 2010»
15 years 17 days ago
Intensity dependent estimation of noise in microarrays improves detection of differentially expressed genes
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...
Amit Zeisel, Amnon Amir, Wolfgang J. Köstler,...
BIBE
2007
IEEE
191views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
PANP - a New Method of Gene Detection on Oligonucleotide Expression Arrays
Abstract. Currently, the method most used for gene detection calls on Affymetrix oligonucleotide arrays is provided as part of the MAS5.0 software. The MAS method uses Wilcoxon sta...
Peter Warren, Deanne Taylor, Paolo G. V. Martini, ...
BMCBI
2008
128views more  BMCBI 2008»
15 years 17 days ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
110
Voted
BMCBI
2006
169views more  BMCBI 2006»
15 years 15 days ago
Finding biological process modifications in cancer tissues by mining gene expression correlations
Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This techno...
Giacomo Gamberoni, Sergio Storari, Stefano Volinia
123
Voted
BMCBI
2010
165views more  BMCBI 2010»
15 years 17 days ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...