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» Machine Learning by Function Decomposition
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BMCBI
2008
143views more  BMCBI 2008»
14 years 12 months ago
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
Britta Mersch, Alexander Gepperth, Sándor S...
MIDDLEWARE
2010
Springer
14 years 10 months ago
Adapting Distributed Real-Time and Embedded Pub/Sub Middleware for Cloud Computing Environments
Enterprise distributed real-time and embedded (DRE) publish/subscribe (pub/sub) systems manage resources and data that are vital to users. Cloud computing—where computing resourc...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...
BMCBI
2010
193views more  BMCBI 2010»
14 years 6 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
CGO
2005
IEEE
15 years 5 months ago
Optimizing Sorting with Genetic Algorithms
The growing complexity of modern processors has made the generation of highly efficient code increasingly difficult. Manual code generation is very time consuming, but it is oft...
Xiaoming Li, María Jesús Garzar&aacu...
HPCN
1998
Springer
15 years 4 months ago
PARAFLOW: A Dataflow Distributed Data-Computing System
We describe the Paraflow system for connecting heterogeneous computing services together into a flexible and efficient data-mining metacomputer. There are three levels of parallel...
Roy Williams, Bruce Sears