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98
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ICASSP
2010
IEEE
15 years 20 days ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
106
Voted
PAMI
2007
196views more  PAMI 2007»
14 years 12 months ago
Bayesian Analysis of Lidar Signals with Multiple Returns
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
BMCBI
2010
136views more  BMCBI 2010»
15 years 18 days ago
An integrated Bayesian analysis of LOH and copy number data
Background: Cancer and other disorders are due to genomic lesions. SNP-microarrays are able to measure simultaneously both genotype and copy number (CN) at several Single Nucleoti...
Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...
BMCBI
2010
152views more  BMCBI 2010»
15 years 18 days ago
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis
Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...
Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse
146
Voted
GLOBECOM
2010
IEEE
14 years 10 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...