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» Evaluation of clustering algorithms for gene expression data
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CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
15 years 7 months ago
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos
BMCBI
2002
99views more  BMCBI 2002»
15 years 1 months ago
FunSpec: a web-based cluster interpreter for yeast
Background: For effective exposition of biological information, especially with regard to analysis of large-scale data types, researchers need immediate access to multiple categor...
Mark D. Robinson, Jörg Grigull, Naveed Mohamm...
CSB
2004
IEEE
120views Bioinformatics» more  CSB 2004»
15 years 5 months ago
Dynamic Algorithm for Inferring Qualitative Models of Gene Regulatory Networks
It is still an open problem to identify functional relations with o(N
Zheng Yun, Kwoh Chee Keong
173
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ICASSP
2011
IEEE
14 years 5 months ago
Biological pathway inference using manifold embedding
Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we de...
Arvind Rao, Alfred O. Hero
BMCBI
2011
14 years 5 months ago
Evaluating methods for ranking differentially expressed genes applied to MicroArray Quality Control data
Background: Statistical methods for ranking differentially expressed genes (DEGs) from gene expression data should be evaluated with regard to high sensitivity, specificity, and r...
Koji Kadota, Kentaro Shimizu