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BMCBI
2010
147views more  BMCBI 2010»
15 years 6 months ago
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
Thomas J. Hardcastle, Krystyna A. Kelly
CORR
2008
Springer
121views Education» more  CORR 2008»
15 years 6 months ago
Rate-Distortion via Markov Chain Monte Carlo
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstructio...
Shirin Jalali, Tsachy Weissman
CORR
2006
Springer
135views Education» more  CORR 2006»
15 years 6 months ago
Classification of Ordinal Data
Many real life problems require the classification of items into naturally ordered classes. These problems are traditionally handled by conventional methods intended for the class...
Jaime S. Cardoso
JUCS
2006
117views more  JUCS 2006»
15 years 6 months ago
Resource Efficient Maintenance of Wireless Network Topologies
Abstract: Multiple hop routing in mobile ad hoc networks can minimize energy consumption and increase data throughput. Yet, the problem of radio interferences remain. However if th...
Tamás Lukovszki, Christian Schindelhauer, K...
CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 6 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
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