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» Microarray Gene Expression Data Analysis
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AIME
2009
Springer
15 years 1 months ago
Effect of Background Correction on Cancer Classification with Gene Expression Data
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Adelaide Freitas, Gladys Castillo, Ana São ...
BMCBI
2011
14 years 4 months ago
RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis
Background: The Gene Ontology (GO) Consortium organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. Tools such...
Barry Zeeberg, Hongfang Liu, Ari B. Kahn, Martin E...
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
15 years 10 months ago
Pattern-based similarity search for microarray data
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
Haixun Wang, Jian Pei, Philip S. Yu
NAR
2007
155views more  NAR 2007»
14 years 9 months ago
AthaMap web tools for the analysis and identification of co-regulated genes
The AthaMap database generates a map of cisregulatory elements for the whole Arabidopsis thaliana genome. This database has been extended by new tools to identify common cis-regul...
Claudia Galuschka, Martin Schindler, Lorenz Bü...
BMCBI
2005
112views more  BMCBI 2005»
14 years 9 months ago
Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
Rainer Breitling, Patrick Armengaud, Anna Amtmann