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DILS
2005
Springer
13 years 11 months ago
Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
Abstract. Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene e...
Jaewoo Kang, Jiong Yang, Wanhong Xu, Pankaj Chopra
BMCBI
2005
167views more  BMCBI 2005»
13 years 5 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
SSDBM
2000
IEEE
155views Database» more  SSDBM 2000»
13 years 10 months ago
Knowledge-Based Integration of Neuroscience Data Sources
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
Amarnath Gupta, Bertram Ludäscher, Maryann E....
BMCBI
2007
149views more  BMCBI 2007»
13 years 5 months ago
Novel and simple transformation algorithm for combining microarray data sets
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
BMCBI
2008
132views more  BMCBI 2008»
13 years 5 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...