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» Determining gene expression on a single pair of microarrays
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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...
RECOMB
2009
Springer
14 years 8 months ago
Evaluating Between-Pathway Models with Expression Data
Abstract. Between-Pathway Models (BPMs) are network motifs consisting of pairs of putative redundant pathways. In this paper, we show how adding another source of high-throughput d...
Benjamin J. Hescott, Mark D. M. Leiserson, Lenore ...
BMCBI
2008
137views more  BMCBI 2008»
13 years 7 months ago
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays
Background: Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) datab...
Hans A. Kestler, André Müller, Johann ...
BMCBI
2010
158views more  BMCBI 2010»
13 years 7 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel
BMCBI
2007
174views more  BMCBI 2007»
13 years 7 months ago
Inferring activity changes of transcription factors by binding association with sorted expression profiles
Background: The identification of transcription factors (TFs) associated with a biological process is fundamental to understanding its regulatory mechanisms. From microarray data,...
Chao Cheng, Xiting Yan, Fengzhu Sun, Lei M. Li