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BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
13 years 12 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
NIPS
2004
13 years 9 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
BMCBI
2010
191views more  BMCBI 2010»
13 years 8 months ago
Colonyzer: automated quantification of micro-organism growth characteristics on solid agar
Background: High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interaction...
Conor Lawless, Darren J. Wilkinson, Alexander Youn...
BMCBI
2011
13 years 2 months ago
Removing Noise From Pyrosequenced Amplicons
Background: In many environmental genomics applications a homologous region of DNA from a diverse sample is first amplified by PCR and then sequenced. The next generation sequenci...
Christopher Quince, Anders Lanzén, Russell ...
JSAC
2011
219views more  JSAC 2011»
13 years 2 months ago
Detection of Small-Scale Primary Users in Cognitive Radio Networks
Abstract—In cognitive radio networks (CRNs), detecting smallscale primary devices, such as wireless microphones, is a challenging, but very important, problem that has not yet be...
Alexander W. Min, Xinyu Zhang, Kang G. Shin