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» Biological Network Inference Using Redundancy Analysis
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TPDS
1998
112views more  TPDS 1998»
14 years 9 months ago
Parallel Computation in Biological Sequence Analysis
—A massive volume of biological sequence data is available in over 36 different databases worldwide, including the sequence data generated by the Human Genome project. These data...
Tieng K. Yap, Ophir Frieder, Robert L. Martino
BMCBI
2008
128views more  BMCBI 2008»
14 years 9 months ago
SIGffRid: A tool to search for sigma factor binding sites in bacterial genomes using comparative approach and biologically drive
Background: Many programs have been developed to identify transcription factor binding sites. However, most of them are not able to infer two-word motifs with variable spacer leng...
Fabrice Touzain, Sophie Schbath, Isabelle Debled-R...
IUI
2009
ACM
15 years 6 months ago
You can play that again: exploring social redundancy to derive highlight regions in videos
Identifying highlights in multimedia content such as video and audio is currently a very difficult technical problem. We present and evaluate a novel algorithm that identifies hig...
Jose San Pedro, Vaiva Kalnikaité, Steve Whi...
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ICDE
2011
IEEE
281views Database» more  ICDE 2011»
14 years 1 months ago
Declarative analysis of noisy information networks
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Walaa Eldin Moustafa, Galileo Namata, Amol Deshpan...
BMCBI
2010
229views more  BMCBI 2010»
14 years 9 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