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» Analyzing time series gene expression data
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BMCBI
2010
96views more  BMCBI 2010»
13 years 7 months ago
QTLminer: identifying genes regulating quantitative traits
Background: Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulating a quantitative trait. However, QTL regions may encompass tens to...
Rudi Alberts, Klaus Schughart
BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
BMCBI
2008
204views more  BMCBI 2008»
13 years 7 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
NAR
2011
357views Computer Vision» more  NAR 2011»
13 years 2 months ago
miRGator v2.0 : an integrated system for functional investigation of microRNAs
miRGator is an integrated database of microRNA (miRNA)-associated gene expression, target prediction, disease association and genomic annotation, which aims to facilitate function...
Sooyoung Cho, Yukyung Jun, Sanghyun Lee, Hyung-Seo...
BMCBI
2007
104views more  BMCBI 2007»
13 years 7 months ago
Joint mapping of genes and conditions via multidimensional unfolding analysis
Background: Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions base...
Katrijn Van Deun, Kathleen Marchal, Willem J. Heis...