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» Spotting effect in microarray experiments
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92
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BMCBI
2007
239views more  BMCBI 2007»
15 years 18 days ago
Pre-processing Agilent microarray data
Background: Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to...
Marianna Zahurak, Giovanni Parmigiani, Wayne Yu, R...
113
Voted
WWW
2007
ACM
16 years 1 months ago
GeoTV: navigating geocoded rss to create an iptv experience
The Web is rapidly moving towards a platform for mass collaboration in content production and consumption from three screens: computers, mobile phones, and TVs. While there has be...
Yih-Farn Chen, Giuseppe Di Fabbrizio, David C. Gib...
BMCBI
2008
121views more  BMCBI 2008»
15 years 18 days ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...
97
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BMCBI
2006
118views more  BMCBI 2006»
15 years 16 days 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...
BMCBI
2005
135views more  BMCBI 2005»
15 years 11 days ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...