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» Detecting microRNA activity from gene expression data
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103
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BMCBI
2010
118views more  BMCBI 2010»
15 years 17 days ago
Bacillus anthracis genome organization in light of whole transcriptome sequencing
Emerging knowledge of whole prokaryotic transcriptomes could validate a number of theoretical concepts introduced in the early days of genomics. What are the rules connecting gene...
Jeffrey Martin, Wenhan Zhu, Karla D. Passalacqua, ...
108
Voted
BMCBI
2010
106views more  BMCBI 2010»
15 years 17 days ago
A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes
Background: Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that pr...
Guofeng Meng, Axel Mosig, Martin Vingron
BMCBI
2007
179views more  BMCBI 2007»
15 years 14 days ago
Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
Background: The wide use of Affymetrix microarray in broadened fields of biological research has made the probeset annotation an important issue. Standard Affymetrix probeset anno...
Hui Yu, Feng Wang, Kang Tu, Lu Xie, Yuan-Yuan Li, ...
BMCBI
2006
103views more  BMCBI 2006»
15 years 15 days ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux
BMCBI
2008
173views more  BMCBI 2008»
15 years 17 days ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal