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» Algorithms for Finding Gene Clusters
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244
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BMCBI
2007
182views more  BMCBI 2007»
15 years 3 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 ...
BIBE
2005
IEEE
115views Bioinformatics» more  BIBE 2005»
15 years 9 months ago
GOMIT: A Generic and Adaptive Annotation Algorithm Based on Gene Ontology Term Distributions
We address the issue of providing highly informative annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a set of candidate ...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
110
Voted
RECOMB
2004
Springer
16 years 3 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
BMCBI
2007
237views more  BMCBI 2007»
15 years 3 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
BMCBI
2004
117views more  BMCBI 2004»
15 years 3 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...