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197
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AMC
2006
67views more  AMC 2006»
15 years 7 months ago
A general probabilistic model of the PCR process
Earlier work by Saha et al. rigorously derived a general probabilistic model for the PCR process that includes as a special case the Velikanov-Kapral model where all nucleotide re...
Nilanjan Saha, Layne T. Watson, Karen Kafadar, Ale...
GEOS
2007
Springer
16 years 1 months ago
Modeling Spatio-temporal Network Computations: A Summary of Results
Spatio-temporal network is defined by a set of nodes, and a set of edges, where the properties of nodes and edges may vary over time. Such networks are encountered in a variety of...
Betsy George, Shashi Shekhar
177
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OTM
2005
Springer
16 years 27 days ago
Selection Using Non-symmetric Context Areas
Abstract. This paper targets with applications running on mobile devices and using context informations. Following previous studies from other authors, we extend the notion of cont...
Diane Lingrand, Stephane Lavirotte, Jean-Yves Tigl...
231
Voted
BMCBI
2007
128views more  BMCBI 2007»
15 years 7 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...
223
Voted
CF
2010
ACM
16 years 15 days ago
Interval-based models for run-time DVFS orchestration in superscalar processors
We develop two simple interval-based models for dynamic superscalar processors. These models allow us to: i) predict with great accuracy performance and power consumption under va...
Georgios Keramidas, Vasileios Spiliopoulos, Stefan...