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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2007
112views more  BMCBI 2007»
13 years 11 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
APBC
2004
121views Bioinformatics» more  APBC 2004»
14 years 10 days ago
Using Emerging Pattern Based Projected Clustering and Gene Expression Data for Cancer Detection
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
Larry T. H. Yu, Fu-Lai Chung, Stephen Chi-fai Chan...
SEKE
2010
Springer
13 years 9 months ago
A Project Monitoring Cockpit Based On Integrating Data Sources in Open Source Software Development
— Many open source software (OSS) development projects use tools and models that come from heterogeneous sources. A project manager, who wants to analyze indicators for the state...
Stefan Biffl, Wikan Danar Sunindyo, Thomas Moser
CSDA
2008
128views more  CSDA 2008»
13 years 11 months ago
Assessing agreement of clustering methods with gene expression microarray data
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...
BMCBI
2010
153views more  BMCBI 2010»
13 years 11 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...