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» A Heuristic Approach to Scoring Gene Clustering Algorithms
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BIOCOMP
2006
13 years 6 months ago
A Heuristic Approach to Scoring Gene Clustering Algorithms
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
Longde Yin, Chun-Hsi Huang
IJDMB
2008
117views more  IJDMB 2008»
13 years 4 months ago
Scoring and summarising gene product clusters using the Gene Ontology
: We propose an approach for quantifying the biological relatedness between gene products, based on their properties, and measure their similarities using exclusively statistical N...
Spiridon C. Denaxas, Christos Tjortjis
CIBCB
2005
IEEE
13 years 6 months ago
A Transcriptional Approach to Gene Clustering
— We present an integrative method for clustering coregulated genes and elucidating their underlying regulatory mechanisms. We use multi-state partition functions and thermodynam...
Ilias Tagkopoulos
BMCBI
2007
265views more  BMCBI 2007»
13 years 5 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
BMCBI
2010
108views more  BMCBI 2010»
13 years 5 months ago
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...