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BMCBI
2010
229views more  BMCBI 2010»
13 years 8 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
BMCBI
2007
138views more  BMCBI 2007»
13 years 8 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
BMCBI
2007
115views more  BMCBI 2007»
13 years 8 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
BMCBI
2005
169views more  BMCBI 2005»
13 years 7 months ago
MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes
Background: Cis-regulatory modules are combinations of regulatory elements occurring in close proximity to each other that control the spatial and temporal expression of genes. Th...
Voichita D. Marinescu, Isaac S. Kohane, Alberto Ri...
TMC
2008
112views more  TMC 2008»
13 years 7 months ago
Throughput Analysis and Measurements in IEEE 802.11 WLANs with TCP and UDP Traffic Flows
There is a vast literature on the throughput analysis of the IEEE 802.11 media access control (MAC) protocol. However, very little has been done on investigating the interplay betw...
Raffaele Bruno, Marco Conti, Enrico Gregori