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» GeneChaser: Identifying all biological and clinical conditio...
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BMCBI
2005
113views more  BMCBI 2005»
13 years 5 months ago
Pathway level analysis of gene expression using singular value decomposition
Background: A promising direction in the analysis of gene expression focuses on the changes in expression of specific predefined sets of genes that are known in advance to be rela...
John K. Tomfohr, Jun Lu, Thomas B. Kepler
BMCBI
2010
124views more  BMCBI 2010»
13 years 5 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
BMCBI
2004
150views more  BMCBI 2004»
13 years 5 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
BMCBI
2007
152views more  BMCBI 2007»
13 years 5 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
BMCBI
2006
121views more  BMCBI 2006»
13 years 5 months ago
Robust computational reconstitution - a new method for the comparative analysis of gene expression in tissues and isolated cell
Background: Biological tissues consist of various cell types that differentially contribute to physiological and pathophysiological processes. Determining and analyzing cell type-...
Martin Hoffmann, Dirk Pohlers, Dirk Koczan, Hans-J...