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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2010
153views more  BMCBI 2010»
13 years 11 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
NOMS
2010
IEEE
195views Communications» more  NOMS 2010»
13 years 9 months ago
Using linked data for systems management
—Integration of data from multiple sources makes it possible to build effective systems management solutions. Despite the expected benefits, data integration remains a challenge....
Metin Feridun, Axel Tanner
EMNLP
2007
14 years 19 days ago
Extending a Thesaurus in the Pan-Chinese Context
In this paper, we address a unique problem in Chinese language processing and report on our study on extending a Chinese thesaurus with region-specific words, mostly from the fina...
Oi Yee Kwong, Benjamin Ka-Yin T'sou
BMCBI
2010
148views more  BMCBI 2010»
13 years 11 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
BNCOD
2001
101views Database» more  BNCOD 2001»
14 years 17 days ago
Limiting Result Cardinalities for Multidatabase Queries Using Histograms
Abstract. Integrating, cleaning and analyzing data from heterogeneous sources is often complicated by the large amounts of data and its physical distribution which can result in po...
Kai-Uwe Sattler, Oliver Dunemann, Ingolf Geist, Gu...