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» Predicting protein functions with message passing algorithms
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BMCBI
2010
176views more  BMCBI 2010»
14 years 9 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
BIBE
2010
IEEE
181views Bioinformatics» more  BIBE 2010»
14 years 10 months ago
Multi Level Clustering of Phylogenetic Profiles
The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to in...
Fotis E. Psomopoulos, Pericles A. Mitkas
ICMI
2005
Springer
104views Biometrics» more  ICMI 2005»
15 years 3 months ago
Analyzing and predicting focus of attention in remote collaborative tasks
To overcome the limitations of current technologies for remote collaboration, we propose a system that changes a video feed based on task properties, people’s actions, and messa...
Jiazhi Ou, Lui Min Oh, Susan R. Fussell, Tal Blum,...
EUROPAR
2004
Springer
15 years 3 months ago
Task-Queue Based Hybrid Parallelism: A Case Study
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Karl Fürlinger, Olaf Schenk, Michael Hagemann
JCC
2011
154views more  JCC 2011»
14 years 15 days ago
Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database
: Docking is one of the most commonly used techniques in drug design. It is used for both identifying correct poses of a ligand in the binding site of a protein as well as for the ...
Dariusz Plewczynski, Michal Lazniewski, Rafal Augu...