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» Clustering cancer gene expression data: a comparative study
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BMCBI
2005
178views more  BMCBI 2005»
15 years 6 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
BMCBI
2008
169views more  BMCBI 2008»
15 years 6 months ago
CompMoby: Comparative MobyDick for detection of cis-regulatory motifs
Background: The regulation of gene expression is complex and occurs at many levels, including transcriptional and post-transcriptional, in metazoans. Transcriptional regulation is...
Christina Chaivorapol, Collin Melton, Grace Wei, R...
BMCBI
2008
171views more  BMCBI 2008»
15 years 6 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
BMCBI
2010
118views more  BMCBI 2010»
15 years 6 months ago
Testing for mean and correlation changes in microarray experiments: an application for pathway analysis
Background: Microarray experiments examine the change in transcript levels of tens of thousands of genes simultaneously. To derive meaningful data, biologists investigate the resp...
Mayer Alvo, Zhongzhu Liu, Andrew Williams, Carole ...
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 6 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye