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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2002
99views more  BMCBI 2002»
13 years 10 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...
BIOADIT
2004
Springer
14 years 4 months ago
Analysis of Responses of Complex Bionetworks to Changes in Environmental Conditions
Abstract. The responses of flexible bionetworks to extreme environmental changes were studied in several microorganisms. Gene and metabolic networks markedly changed with osmotic ...
Hiroshi Shimizu, Takashi Hirasawa, Keisuke Nagahis...
NIPS
2003
14 years 11 days ago
Gene Expression Clustering with Functional Mixture Models
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
Darya Chudova, Christopher E. Hart, Eric Mjolsness...
BMCBI
2002
195views more  BMCBI 2002»
13 years 10 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
14 years 11 days ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...