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» Microarray Gene Expression Data Analysis
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BMCBI
2005
98views more  BMCBI 2005»
15 years 2 months ago
The effects of normalization on the correlation structure of microarray data
Background: Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-...
Xing Qiu, Andrew I. Brooks, Lev Klebanov, Andrei Y...
BMCBI
2004
131views more  BMCBI 2004»
15 years 2 months ago
Alternative mapping of probes to genes for Affymetrix chips
Background: Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the...
Laurent Gautier, Morten Møller, Lennart Fri...
131
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BIBE
2007
IEEE
191views Bioinformatics» more  BIBE 2007»
15 years 8 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
2007
167views more  BMCBI 2007»
15 years 2 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
100
Voted
CIKM
2004
Springer
15 years 7 months ago
Mining gene expression datasets using density-based clustering
Given the recent advancement of microarray technologies, we present a density-based clustering approach for the purpose of co-expressed gene cluster identification. The underlyin...
Seokkyung Chung, Jongeun Jun, Dennis McLeod