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» Analyzing time series gene expression data
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BMCBI
2010
96views more  BMCBI 2010»
14 years 10 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»
14 years 10 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»
14 years 10 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»
14 years 4 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»
14 years 10 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...