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» Managing Biological Data using bdbms
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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 3 days ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
CCGRID
2009
IEEE
15 years 6 months ago
BLAST Application with Data-Aware Desktop Grid Middleware
—There exists numerous Grid middleware to develop and execute programs on the computational Grid, but they still require intensive work from their users. BitDew is made to facili...
Haiwu He, Gilles Fedak, Bing Tang, Franck Cappello
BMCBI
2008
122views more  BMCBI 2008»
14 years 11 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
BMCBI
2010
132views more  BMCBI 2010»
14 years 11 months ago
Next generation tools for genomic data generation, distribution, and visualization
Background: With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the ...
David A. Nix, Tonya L. Di Sera, Brian K. Dalley, B...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 5 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han