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» Consistency of Sequence-Based Gene Clusters
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ISMB
2000
13 years 11 months ago
Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...
BMCBI
2010
164views more  BMCBI 2010»
13 years 7 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
CIKM
2006
Springer
14 years 1 months ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010
BMCBI
2007
182views more  BMCBI 2007»
13 years 10 months ago
EDISA: extracting biclusters from multiple time-series of gene expression profiles
Background: Cells dynamically adapt their gene expression patterns in response to various stimuli. This response is orchestrated into a number of gene expression modules consistin...
Jochen Supper, Martin Strauch, Dierk Wanke, Klaus ...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
14 years 1 months ago
Crossover gene selection by spatial location
Spatial based gene selection for division of chromosomes used by crossover operators is proposed for three-dimensional problems. This spatial selection is shown to preserve more g...
David M. Cherba, William F. Punch